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Monte Carlo Analysis CONFIDENCE Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514 SETTLING Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 MCCONV Extract Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518 Sensitivity Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 Global Sensitivity Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 Large Scale Variable Screening . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523 Monte Carlo Analysis Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526 A Simple Passive Low-Pass Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526 Importance Sampling Monte Carlo Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528 Model-Based Approximations Example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532 Further Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534 Parameter Naming Conventions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 536 Problems in Statistical Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 544 Obsolete Features. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548 410 Eldo® User's Manual, 15.3
Introduction to Monte Carlo Analysis Monte Carlo Analysis Introduction to Monte Carlo Analysis The main goal of the Monte Carlo command is to analyze the uncertainty in circuit performance due to simulated random variations. It focuses on how uncertainty in input data propagates through computations. The input data is the various design parameters, the process parameters, and the environmental conditions. A circuit performance may be any measure that is extracted from the simulation, and will be noted with the functional form , where we note the input parameters with the generic symbol x. Eldo reads a netlist describing the circuit and translates it into mathematical equations. The Monte Carlo simulation is performed on multiple model evaluations with randomly selected model input variables. The results of these evaluations are then used to determine the uncertainty in model predictions, and the input variables that gave rise to this uncertainty. To use the Monte Carlo analysis in Eldo, you must do the following: • Provide a working netlist with one or more <strong>user</strong>-defined circuit performances (the output measures) based on other analyses (DC, AC, TRAN, ...). • Specify the .MC statement in the netlist. See “Specifying a Monte Carlo Analysis” on page 421. • Introduce some statistical variations on circuit parameters, model parameters and/or environmental conditions (the input variables X). See “Statistical Variations” on page 423. The following topics are devoted to the definition of the concept of uncertainty and its relation to the Monte Carlo simulation. Introduction to Uncertainty Analysis In our context, we may define the uncertainty u(H) of a circuit performance H, as a parameter that characterizes the dispersion of the values that can be attributed to the random variations of this performance. This parameter may be a standard deviation or the width of an interval having a given level of coverage or yield. Conversely, one may be interested in estimating the probability of being between <strong>user</strong>-defined specifications. Standard Uncertainty An estimate of the expectation of a random variable (the circuit performance of interest) for which n independent observations Y i =H(X i ) are simulated, is the arithmetic mean: Eldo® User's Manual, 15.3 411
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Table of Contents Chapter 1 Introdu
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Table of Contents Preparing and Ins
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Table of Contents Chapter 7 Running
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Table of Contents Eldo Reduction .
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Table of Contents Chapter 12 Statis
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Table of Contents Simulating a Bloc
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Table of Contents atanh . . . . . .
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Table of Contents xmin . . . . . .
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Table of Contents COS. . . . . . .
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Table of Contents One Step Relaxati
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List of Figures Figure 1-1. Cascade
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List of Figures Figure 14-1. Mixed-
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List of Tables Table 1-1. Documenta
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Chapter 1 Introduction to Eldo The
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Introduction to Eldo Getting Starte
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Introduction to Eldo Getting Starte
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Eldo Input and Output Files Introdu
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Introduction to Eldo Eldo Documenta
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Introduction to Eldo Documentation
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Chapter 2 Running Eldo This chapter
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Running Eldo Multi-Threading Eldo S
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Running Eldo Multi-Threading Eldo S
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Running Eldo Simulation Connection
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Running Eldo Simulation Connection
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Running Eldo Eldo Initialization Fi
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Running Eldo Location Maps Location
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Running Eldo Performance Bottleneck
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Running Eldo Statistics File Statis
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Running Eldo Additional Tools and U
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Chapter 3 Eldo Premier This chapter
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Eldo Premier Overview of Eldo Premi
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Eldo Premier Automatic Activation o
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Eldo Premier Handling Matrix-Like C
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Eldo Premier Eldo Premier Output El
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Eldo Premier Forcing Elaboration Ti
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Netlist reduction is activated with
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Eldo Premier Supported Commands Tab
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Eldo Premier Supported Commands Tab
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Table 3-3. Eldo Premier—Supported
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Eldo Premier Supported Models Enabl
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Eldo Premier Miscellaneous Limitati
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Chapter 4 Eldo Netlist Setup This c
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Eldo Netlist Setup Netlist Structur
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Subcircuit Definitions and Calls El
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Eldo Netlist Setup Simulator Comman
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Eldo Netlist Setup General Aspects
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Eldo Netlist Setup Case-Sensitivity
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Eldo Netlist Setup Numerical Values
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Eldo Netlist Setup Functions, Opera
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Function PWL_LIN(xvalue, interp, x1
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Notes Eldo Netlist Setup Arithmetic
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Eldo Netlist Setup Operators Operat
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Eldo Netlist Setup Operators Bitwis
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Eldo Netlist Setup Expressions Spec
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Eldo Netlist Setup Directives Direc
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Eldo Netlist Setup Directives Inter
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Eldo Netlist Setup Directives to Po
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Eldo Netlist Setup Working With Sub
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Eldo Netlist Setup Subcircuits Spec
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Eldo Netlist Setup Subcircuits Rela
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Eldo Netlist Setup Device Libraries
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Eldo Netlist Setup Encrypting Libra
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Eldo Netlist Setup encrypt_eldo Too
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Eldo was not able to find the reque
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Eldo Netlist Setup Running Multiple
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Eldo Netlist Setup Merging Instance
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Chapter 5 Simulator Compatibility E
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Simulator Compatibility Hybrid Comp
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Simulator Compatibility Devices in
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Simulator Compatibility Devices in
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Simulator Compatibility Commands in
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Simulator Compatibility Commands in
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Simulator Compatibility Options in
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Netlist in Compat Mode Some aspects
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Simulator Compatibility Arithmetic
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Simulator Compatibility Spectre Com
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Simulator Compatibility Spectre Com
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Eldo can be launched on the Spectre
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Simulator Compatibility Working wit
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Error Code Related Topics Spectre C
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Simulator Compatibility Spectre to
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spect2el Command Reference Simulato
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Simulator Compatibility spect2el Co
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Chapter 6 Setting Up An Analysis Th
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DC and Operating Point Analyses The
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Setting Up An Analysis Performing a
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Setting Up An Analysis Operating Po
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Setting Up An Analysis DC Convergen
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Setting Up An Analysis Saving and R
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Setting Up An Analysis Transient An
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.SAVE END in Combination with .REST
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AC Analysis Results Setting Up An A
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Loop Stability Analysis Setting Up
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Setting Up An Analysis Pole Zero An
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Setting Up An Analysis Pole Zero An
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Hand Selection Setting Up An Analys
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Setting Up An Analysis Transfer Fun
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Setting Up An Analysis Noise Analys
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Setting Up An Analysis Transient No
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Transient Noise Analysis Principles
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Figure 6-10. PSD of a Flicker Noise
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o Setting Up An Analysis Transient
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Setting Up An Analysis Statistical
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Setting Up An Analysis Worst Case A
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Setting Up An Analysis DC Sensitivi
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AC Sensitivity Analysis Results Set
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Design of Experiments Analysis Resu
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Setting Up An Analysis Aging and Re
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High Impedance Node Check Setting U
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Results Setting Up An Analysis View
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Setting Up An Analysis RF Analyses
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Setting Up An Analysis RF Analyses
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Chapter 7 Running Parametric Analys
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Running Parametric Analyses Tempera
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Running Parametric Analyses Assigni
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Running Parametric Analyses .STEP S
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Running Parametric Analyses Nested
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Running Parametric Analyses .DATA P
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Running Parametric Analyses Removin
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Running Parametric Analyses .ALTER
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Running Parametric Analyses Using O
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Chapter 8 Specifying Simulation Out
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Specifying Simulation Output Output
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Specifying Simulation Output Types
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Examples of Wildcard Usage in Subci
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See Also • .PLOT command in the E
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Compound Waveforms Specifying Simul
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Specifying Simulation Output Tabula
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Specifying Simulation Output Dynami
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Specifying Simulation Output Plot a
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3. Right-click on the sweep paramet
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Specifying Simulation Output Exampl
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Specifying Simulation Output Exampl
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Safe Operating Area (SOA) Checks Sp
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Specifying Simulation Output Plotti
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See Also • .CHECKSOA in the Eldo
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Specifying Simulation Output Safe O
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Specifying Simulation Output High I
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Specifying Simulation Output High I
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• .OPTION PRINT_OPTION=0 (in the
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Specifying Simulation Output Increm
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Chapter 9 Analyzing Simulation Resu
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Monte Carlo Analysis Post-Analysis
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Monte Carlo Analysis Output of Unce
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• MCCORR(LABEL_EXT1,LABEL_EXT2) M
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Extracts the total number of Monte
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Monte Carlo Analysis Importance Sam
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Monte Carlo Analysis Further Exampl
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Five independent random variables w
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Monte Carlo Analysis Problems in St
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Figure 11-23. Four Random Samples f
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Monte Carlo Analysis Obsolete Featu
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Chapter 12 Statistical Experimental
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Statistical Experimental Design and
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Statistical Modeling for Discrete C
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Conducting a Screening Experiment G
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Chapter 13 Optimization The purpose
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Optimization Optimization in Eldo O
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Optimization Optimization Options .
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Table 13-1. Eldo Optimization Metho
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Figure 13-2. Discretization of Desi
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Optimization Specifying Tracking wi
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Optimization Scaling Design Variabl
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Optimization Design Objectives Desi
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Scalar Design Objectives Optimizati
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Optimization Specifying Design Obje
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Optimization Eldo Optimizer/Search
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Conducting an Eldo Optimization Opt
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Smooth and Non-Smooth Problems Opti
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Optimization of Sweep Simulations O
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Optimization Optimization of Sweep
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Optimization Optimization of Sweep
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o o Goal Value — Goal value of th
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Optimization Robust Optimization Us
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Chapter 14 Working with S, Y, Z Par
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Working with S, Y, Z Parameters S,
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Working with S, Y, Z Parameters Out
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• Simulation of passive networks
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VAR_LIST_BEGIN / VAR_LIST_END SEG_L
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Chapter 16 Electrothermal Simulatio
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Electrothermal Simulation Specifyin
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D_overshoot_ampl_l 5.0 [Rgnd] 2.1 [
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Chapter 18 Eldo Control Language Th
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Eldo Control Language Examples Eldo
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Defining and Running Simulations El
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Eldo Control Language Simulation Dy
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Command _simu_set _simu_set_cond _s
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Eldo Control Language Extended Simu
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Eldo Control Language Parallel Oper
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Concurrency Issues Eldo Control Lan
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Launching ECL Simulations on Differ
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Eldo Control Language Statistical P
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Command _simu_get_stat_param_de v _
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Temporary Files Eldo Control Langua
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Debug Mode Eldo Control Language Ad
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Eldo Control Language Advanced Simu
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Eldo Control Language Advanced Simu
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Eldo Control Language Examples Usin
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Eldo Control Language .EXTRACT Alte
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Eldo Control Language .PRINTFILE Al
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Eldo Control Language .PRINTFILE Al
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Eldo Control Language .OPTIMIZE Alt
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Eldo Control Language .MPRUN with M
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Chapter 19 Post-Processing Library
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Post-Processing Library Post-Proces
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Post-Processing Library General Usa
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Post-Processing Library Macro-Like
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Post-Processing Library Working wit
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Post-Processing Library evalExpr Re
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Post-Processing Library defineVec N
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Post-Processing Library EZwave Wave
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Post-Processing Library ABS ABS Eld
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Post-Processing Library ACOSH ACOSH
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Post-Processing Library ACOTH ACOTH
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Post-Processing Library ASINH ASINH
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Post-Processing Library ATANH ATANH
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Post-Processing Library COMPRESS CO
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Post-Processing Library COSH COSH E
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Post-Processing Library COTH COTH E
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Post-Processing Library DEG DEG Eld
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Post-Processing Library DERIVE DERI
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Post-Processing Library EXP EXP Eld
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Post-Processing Library GMARGIN GMA
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Post-Processing Library IMAG IMAG E
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Post-Processing Library INTEGRAL IN
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Post-Processing Library INVDB INVDB
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Post-Processing Library LOG10 LOG10
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Post-Processing Library MAX MAX Eld
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Post-Processing Library PHASE PHASE
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Post-Processing Library RAD RAD Eld
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Post-Processing Library RELATION RE
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Post-Processing Library RMS RMS Eld
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Post-Processing Library SETTLINGTIM
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Post-Processing Library SINH SINH E
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Post-Processing Library SQRT SQRT E
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Post-Processing Library TAN TAN Eld
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Post-Processing Library TPD TPD Eld
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Post-Processing Library TPDDU TPDDU
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Post-Processing Library TPDUU TPDUU
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Post-Processing Library VMIN VMIN E
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Post-Processing Library XCOMPRESS X
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Post-Processing Library XWAVE XWAVE
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Post-Processing Library IIPX IIPX E
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Post-Processing Library Built-In DS
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Post-Processing Library CONV CONV E
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Post-Processing Library CORRELO •
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Post-Processing Library CT • fmin
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Post-Processing Library FFT • nor
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Post-Processing Library HDIST HDIST
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Post-Processing Library PERIODO PER
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Post-Processing Library PSD PSD Eld
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Post-Processing Library SAMPLER 10
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Post-Processing Library Accessing W
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Post-Processing Library DISP_FILE D
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Post-Processing Library Additional
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Post-Processing Library GETSIZE GET
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Post-Processing Library SETPOINT SE
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Chapter 20 Speed and Accuracy Eldo
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Speed and Accuracy Speed and Accura
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Speed and Accuracy Integration Meth
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Speed and Accuracy Time Step Contro
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Speed and Accuracy Time Step Contro
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Speed and Accuracy Global Tuning of
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Speed and Accuracy Global Tuning of
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Speed and Accuracy Simulation of La
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Speed and Accuracy Tips for Improvi
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Speed and Accuracy IEM Overview Whe
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Speed and Accuracy IEM Tolerance Pa
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IEM Alone (.OPTION IEM) Speed and A
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Integration Method Speed and Accura
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Chapter 21 Examples The most produc
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Examples Table 21-1. Eldo Examples
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Netlist Explanation Examples Exampl
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Examples Example 2—Transient and
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Examples Example 3—AC and Noise A
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Examples Example 3—AC and Noise A
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Figure 21-8. Low Pass Filter Exampl
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Examples Example 5—Transient Anal
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Simulation Results Examples Example
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Figure 21-15. Non-inverting Amplifi
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Examples Example 8—DC Sensitivity
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Examples Example 9—Transient and
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Examples Example 11—Loop Stabilit
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Examples Example 12—Overshoot Ext
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Summary of Eldo commands used in th
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Examples Example 16—Transient Ana
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Examples Example 17—Monte Carlo S
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Examples Example 17—Monte Carlo S
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Examples Example 18—Numerical Int
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Examples Example 19—DC Mismatch C
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Examples Example 21—Post-Layout S
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Examples Example 22—Extract Gain
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Examples Example 22—Extract Gain
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Examples Example 23—Parametric Se
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Examples Example 23—Parametric Se
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Examples Example 24—Cell Characte
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Examples Example 25—Setting up an
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Examples Example 26—Spectre Compa
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Examples Example 27—Monte Carlo A
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Examples Tutorial—Using Power Ana
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Examples Tutorial—High Impedance
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Examples Transient Noise Analysis E
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Appendix A Error and Warning Messag
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Error Number Description Table A-1.
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Error and Warning Messages Global E
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Error and Warning Messages Errors R
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Error Number Table A-4. Errors Rela
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Error and Warning Messages Miscella
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Error and Warning Messages Warning
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Error and Warning Messages Global W
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Error and Warning Messages Warnings
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Warning Number Table A-11. Warnings
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Warning Number Table A-14. Warnings
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Warnings Related to Subcircuits The
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Warning Number Table A-16. Miscella
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Warning Number Warning 1021092 Warn
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Appendix B Troubleshooting Most use
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Troubleshooting File Troubleshootin
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Appendix C Eldo Interactive Mode El
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Eldo Interactive Mode Reading Infor
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Command [.]LSMODEV LSMODPAR [.]LS
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Eldo Interactive Mode Change Featur
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Eldo Interactive Mode Change Featur
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STOP IF Eldo Interactive Mode Cont
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Appendix D Eldo Conversion Utilitie
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Eldo Conversion Utilities Utility t
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Appendix E STMicroelectronics Model
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STMicroelectronics Models What Does
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Css Css Csb Csb Csb+CJSB Cbd Cdbd C
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Index — Symbols — ! comment del
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PWL_LIN(), 111 PWR(VAL1, VAL2), 110
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32-bit and 64-bit modes, 42 An Intr
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LIMIT function, 110 Limiting Output
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DSPF backannotation, 392 Examples,
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Noise Model, 1373 Syntax Errors, 36
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Third-Party Information This sectio
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3. The name of the author may not b
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USE, DATA, OR PROFITS; OR BUSINESS
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End-User License Agreement The late
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7.1. Mentor Graphics warrants that
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