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A MatLab (R) Companion to Complex Variables

to easily add a MATLAB component to their complex variables courses.A MATLAB Companion to Complex Variables provides readers with a clear;

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A Matlab Companion to Complex Variables

instructors to easily add a MATLAB component to their complex variables courses. A MATLAB (R) Companion to Complex Variables provides readers with;

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A Matlab Companion for Multivariable Calculus

Offering a concise collection of MatLab programs and exercises to accompany a third semester course in multivariable calculus, A MatLab;

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Complex Variables

geometric qualities originating from conformality, Complex Variables: A Physical Approach with Applications and MATLAB explores all facets of this;

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MATLAB Symbolic Algebra and Calculus Tools

your goals. Starting with a look at symbolic variables and functions, you will learn how to solve equations in MATLAB, both symbolically and;

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Elements of Matrix Modeling and Computing with MATLAB

As discrete models and computing have become more common, there is a need to study matrix computation and numerical linear algebra;

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Matlab For Beginners

MATLAB to students in high schools. The material presented is very easy and simple to understand -- written in a gentle manner. The topics;

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MATLAB for Beginners: A Gentle Approach

This book is written for beginners and students who wish to learn MATLAB. One of the objectives of writing this book is to introduce MATLAB;

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Advanced Engineering Mathematics With Matlab

students. Features: Complex Variables, formerly Chapter 1, is now Chapter 10. A new Chapter 18: Ito's Stochastic Calculus. Implements;

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A Basic Course in Complex Variables

complex variables, this basic course is a refreshing treatment that can be a stand-alone tutorial or companion guide to another textbook.;

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Essential MATLAB for Engineers and Scientists

newer features through MATLAB R2016a Includes new chapter on complex variables analysis Presents a comparison of execution;

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Methods of Applied Mathematics with a MATLAB Overview

discrete transforms. Transform inversion problems are also examined, along with the necessary background in complex variables. A final chapter;

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Engineering and Scientific Computations Using MATLAB

-friendly, and comprehensive in scope this is a welcome introduction to MATLAB for those new to the program and an ideal companion for engineers;

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An Engineer's Introduction to Programming with MATLAB 2017

Engineer's Introduction to Programming with MATLAB 2017, you will have a solid foundation in computer programming forms and concepts and a comfort;

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Methods of Applied Mathematics with a Software Overview

discrete transforms. Transform inversion problems are also examined, along with the necessary background in complex variables. A final chapter;

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Digital Spectral Analysis MATLAB (R) Software User Guide

This user guide serves as a companion to Digital Spectral Analysis, Second Edition (Dover Publications, 2019), illustrating all the text's;

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Adaptive Filtering Primer with MATLAB

Filtering Primer with MATLAB is an ideal companion for quick reference and a perfect, concise introduction to the field.;

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A Guide to Complex Variables

This quick and easy-to-use guide provides a solid grounding in the fundamental area of complex variables. Copious figures and examples are;

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Radar Signal Analysis and Processing Using MATLAB

Using MATLAB (R) provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal;

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Adaptive Filtering Primer With Matlab

, Adaptive Filtering Primer with MATLAB (R) is an ideal companion for quick reference and a perfect, concise introduction to the field.;

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Problem-Based Learning in Communication Systems Using MATLAB and Simulink

and instructions to implement execution sequences * Includes a companion website that has MATLAB and Simulink model samples and templates;

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Stochastic Dynamics, Filtering and Optimization

introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes;

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MATLAB Deep Learning

, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB;

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Interval Finite Element Method with MATLAB

Interval Finite Element Method with MATLAB provides a thorough introduction to an effective way of investigating problems involving;

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Getting Started with MATLAB

appealing illustrations, Getting Started with MATLAB employs a casual, accessible writing style that shows users how to enjoy using MATLAB. Features;

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Statistics in MATLAB

of MATLAB presents examples of how MATLAB can be used to analyze data and offers access to a companion website with data sets and additional;

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Statistics in MATLAB

version of MATLAB Presents examples of how MATLAB can be used to analyze data Offers access to a companion website with data sets and additional;

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