0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (2)
  • R2,500 - R5,000 (3)
  • -
Status
Brand

Showing 1 - 5 of 5 matches in All Departments

An Introduction to Optimization (Hardcover, 5th edition): Edwin K. P. Chong, Wu-sheng Lu, Stanislaw H. Żak An Introduction to Optimization (Hardcover, 5th edition)
Edwin K. P. Chong, Wu-sheng Lu, Stanislaw H. Żak
R2,964 R2,779 Discovery Miles 27 790 Save R185 (6%) Ships in 12 - 17 working days

Accessible introductory textbook on optimization theory and methods, with an emphasis on engineering design, featuring MATLAB exercises and worked examples Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in machine learning. Numerous diagrams and figures found throughout the book complement the written presentation of key concepts, and each chapter is followed by MATLAB® exercises and practice problems that reinforce the discussed theory and algorithms. The Fifth Edition features a new chapter on Lagrangian (nonlinear) duality, expanded coverage on matrix games, projected gradient algorithms, machine learning, and numerous new exercises at the end of each chapter. An Introduction to Optimization includes information on: The mathematical definitions, notations, and relations from linear algebra, geometry, and calculus used in optimization Optimization algorithms, covering one-dimensional search, randomized search, and gradient, Newton, conjugate direction, and quasi-Newton methods Linear programming methods, covering the simplex algorithm, interior point methods, and duality Nonlinear constrained optimization, covering theory and algorithms, convex optimization, and Lagrangian duality Applications of optimization in machine learning, including neural network training, classification, stochastic gradient descent, linear regression, logistic regression, support vector machines, and clustering. An Introduction to Optimization is an ideal textbook for a one- or two-semester senior undergraduate or beginning graduate course in optimization theory and methods. The text is also of value for researchers and professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.

Practical Optimization - Algorithms and Engineering Applications (Hardcover, 2nd ed. 2021): Andreas Antoniou, Wu-sheng Lu Practical Optimization - Algorithms and Engineering Applications (Hardcover, 2nd ed. 2021)
Andreas Antoniou, Wu-sheng Lu
R2,711 Discovery Miles 27 110 Ships in 10 - 15 working days

This textbook provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes it suitable for use in one or two semesters of an advanced undergraduate course or a first-year graduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. In this second edition the authors have added sections on recent innovations, techniques, and methodologies.

Digital Filter Design and Realization (Hardcover): Takao Hinamoto, Wu-sheng Lu Digital Filter Design and Realization (Hardcover)
Takao Hinamoto, Wu-sheng Lu
R2,462 Discovery Miles 24 620 Ships in 12 - 17 working days

Analysis, design, and realization of digital filters have experienced major developments since the 1970s, and have now become an integral part of the theory and practice in the field of contemporary digital signal processing. Digital Filter Design and Realization is written to present an up-to-date and comprehensive account of the analysis, design, and realization of digital filters. It is intended to be used as a text for graduate students as well as a reference book for practitioners in the field. Prerequisites for this book include basic knowledge of calculus, linear algebra, signal analysis, and linear system theory. Technical topics discussed in the book include: Discrete-Time Systems and z-Transformation Stability and Coefficient Sensitivity State-Space Models FIR Digital Filter Design Frequency-Domain Digital Filter Design Time-Domain Digital Filter Design Interpolated and Frequency-Response-Masking FIR Digital Filter Design Composite Digital Filter Design Finite Word Length Effects Coefficient Sensitivity Analysis and Minimization Error Spectrum Shaping Roundoff Noise Analysis and Minimization Generalized Transposed Direct-Form II Block-State Realization

Two-Dimensional Digital Filters (Hardcover, New): Wu-sheng Lu Two-Dimensional Digital Filters (Hardcover, New)
Wu-sheng Lu
R3,580 Discovery Miles 35 800 Ships in 12 - 17 working days

Presents basic theories, techniques, and procedures used to analyze, design, and implement two-dimensional filters; and surveys a number of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and computer e

Practical Optimization - Algorithms and Engineering Applications (Paperback, Softcover reprint of hardcover 1st ed. 2007):... Practical Optimization - Algorithms and Engineering Applications (Paperback, Softcover reprint of hardcover 1st ed. 2007)
Andreas Antoniou, Wu-sheng Lu
R2,425 Discovery Miles 24 250 Ships in 10 - 15 working days

Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Dig & Discover: Ancient Egypt - Excavate…
Hinkler Pty Ltd Kit R263 Discovery Miles 2 630
Bennett Read Steam Iron (2200W)
R592 Discovery Miles 5 920
JBL Flip 6 Bluetooth Portable Speaker…
R2,899 R2,609 Discovery Miles 26 090
Baby Dove Soap Bar Rich Moisture 75g
R20 Discovery Miles 200
Snappy Tritan Bottle (1.5L)(Green)
R229 R180 Discovery Miles 1 800
Casio LW-200-7AV Watch with 10-Year…
R999 R884 Discovery Miles 8 840
Magic Mike's Last Dance
Channing Tatum, Salma Hayek-Pinault DVD R93 Discovery Miles 930
Seagull Metal Gym Rings
R159 Discovery Miles 1 590
Harry Potter Wizard Wand - In…
 (3)
R800 Discovery Miles 8 000
Home Classix Placemats - Geometric…
R59 R51 Discovery Miles 510

 

Partners