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Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Ting - Chung Poon |
Engineering optics with MATLAB |
026261 |
2018 |
Book |
|
| 2 |
Rajesh Kumar Arora |
Optimization: Algorithms and Applications |
026077 |
2015 |
Book |
|
| 3 |
Nabil Nassif |
Introduction to computational linear algebra |
025999 |
2015 |
Book |
|
| 4 |
Dan Green |
One hundred physics visualizations using matlab |
025530 |
2014 |
Book |
|
| 5 |
Steve C. Chapra |
Applied numerical methods with MATLAB: For Engineers and Scientists |
024452 |
2008 |
Book |
|
| 6 |
Rafael C. Gonzalez |
Digital image processing using MATLAB |
024458 |
2011 |
Book |
|
| 7 |
Brain R. Hunt |
Guide to MATLAB: for Beginners and experienced users |
024463 |
2006 |
Book |
|
| 8 |
David G. Voelz |
Computational fourier optics: A MATLAB Tutorial |
024589 |
2011 |
Book |
|
| 9 |
John W. Leis |
Digital signal processing using MATLAB for students and researchers |
024076 |
2011 |
Book |
|
| 10 |
Chris Solomon |
Fundamentals of digital image processing: A practical approach with examples in Matlab |
023654 |
2011 |
Book |
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|
2.
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| Title | Optimization: Algorithms and Applications |
| Author(s) | Rajesh Kumar Arora |
| Publication | Boca Raton, CRC Press, 2015. |
| Description | xv, 450p. |
| Abstract Note | Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.
The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential
quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods.
The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code. The book also introduces multidisciplinary design optimization (MDO) architectures-one of the first optimization books to do so-and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems.
In addition, it examines Gomory's cutting plane method, the branch-and-bound method, and Balas' algorithm for integer programming problems.
|
| ISBN,Price | 9781498721127 : UKP 90.00(HB) |
| Classification | 519.863
|
| Keyword(s) | 1. GENETIC ALGORITHMS
2. GRADIENT METHODS
3. MATHEMATICAL OPTIMIZATION
4. MATLAB
5. PARTICLE SWARM OPTIMIZATION
6. STOCHASTIC METHODS
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026077 |
|
519.863/ARO/026077 |
On Shelf |
|
|
|
+Copy Specific Information |
|
4.
|
|
| Title | One hundred physics visualizations using matlab |
| Author(s) | Dan Green |
| Publication | Singapore, World Scientific Publishing Co. Pvt. Ltd., 2014. |
| Description | xv, 295p. |
| Abstract Note | This book provides visualizations of many topics in general physics. The aim is to have an interactive MATLAB script wherein the user can vary parameters in a specific problem and then immediately see the outcome by way of dynamic "movies" of the response of the system in question. MATLAB tools are used throughout and the software scripts accompany the text in Symbolic Mathematics, Classical Mechanics, Electromagnetism, Waves and Optics, Gases and Fluid Flow, Quantum Mechanics, Special and General Relativity, and Astrophysics and Cosmology. The emphasis is on building up an intuition by running many different parametric choices chosen actively by the user and watching the subsequent behavior of the system. Physics books using MATLAB do not have the range - or the intent - of this text. They are rather steeped in technical detail. Symbolic math is used extensively and is integral to the aim of using MATLAB tools to accomplish the technical aspects of problem solving. |
| ISBN,Price | 9789814518444 : US $28.00(PB) |
| Classification | 53:681.3MATLAB
|
| Keyword(s) | 1. CLASSICAL MECHANICS - MATLAB
2. COSMOLOGY - MATLAB
3. EBOOK
4. EBOOK - WORLD SCIENTIFIC
5. ELECTROMAGNETISM - MATLAB
6. MATLAB
7. PHYSICS - MATLAB
8. QUANTUM MECHANICS - MATLAB
9. RELATIVITY - MATLAB
|
| Item Type | Book |
Multi-Media Links
Please Click Here for Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 025530 |
|
53:681.3MATLAB/GRE/025530 |
On Shelf |
|
|
|
| OB1248 |
|
53:681.3MATLAB/GRE/ |
On Shelf |
|
|
|
+Copy Specific Information |
|
9.
|
|
| Title | Digital signal processing using MATLAB for students and researchers |
| Author(s) | John W. Leis |
| Publication | New Jersey, John Wiley and Sons, 2011. |
| Description | xi, 382p. |
| Abstract Note | Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems.With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges.
Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth.
Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
|
| ISBN,Price | 9780470880913 : $ 94.95(HB) |
| Classification | 621.391.8:681.3
|
| Keyword(s) | 1. DIGITAL SIGNAL PROCESSING
2. MATLAB
3. RANDOM SIGNAL PROCESSING
4. SIGNAL PROCESSING
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 024076 |
|
621.391.8:681.3/LEI/024076 |
Issued |
MJ02: Jameer Manur |
13/Dec/2024 |
|
+Copy Specific Information | |