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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Clarke, F.H |
Nonlinear Analysis, Differential Equations and Control |
I05048 |
1999 |
eBook |
|
| 12 |
Spedicato, E |
Algorithms for Continuous Optimization |
I04986 |
1994 |
eBook |
|
| 13 |
Florent Krzakala [and five others] |
Statistical physics, optimization, inference and message-passing algorithms |
OB1128 |
|
eBook |
|
| 14 |
Rajesh Kumar Arora |
Optimization: Algorithms and Applications |
026077 |
2015 |
Book |
|
| 15 |
Lev J. Leifman (ed.) |
Functional analysis, optimization and mathematical economics: A collection of papers dedicated to the memory of Leonid Vital'evi |
003377 |
1990 |
Book |
|
| 16 |
L.E. Scales |
Introduction to non-linear optimization |
002090 |
1985 |
Book |
|
| 17 |
Masanao Aoki |
Optimization of stochastic systems: Topics in discreate-time dynamics |
001941 |
1989 |
Book |
|
| 18 |
Evelyn Martin Landsaowne Beale (ed.) |
Introduction to optimization |
000300 |
1988 |
Book |
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11.
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| Title | Nonlinear Analysis, Differential Equations and Control |
| Author(s) | Clarke, F.H;Stern, R.J |
| Publication | Dordrecht, Springer Netherlands, 1999. |
| Description | XIX, 602 p. 1 illus : online resource |
| Abstract Note | Recent years have witnessed important developments in those areas of the mathematical sciences where the basic model under study is a dynamical system such as a differential equation or control process. Many of these recent advances were made possible by parallel developments in nonlinear and nonsmooth analysis. The latter subjects, in general terms, encompass differential analysis and optimization theory in the absence of traditional linearity, convexity or smoothness assumptions. In the last three decades it has become increasingly recognized that nonlinear and nonsmooth behavior is naturally present and prevalent in dynamical models, and is therefore significant theoretically. This point of view has guided us in the organizational aspects of this ASI. Our goals were twofold: We intended to achieve "cross fertilization" between mathematicians who were working in a diverse range of problem areas, but who all shared an interest in nonlinear and nonsmooth analysis. More importantly, it was our goal to expose a young international audience (mainly graduate students and recent Ph. D. 's) to these important subjects. In that regard, there were heavy pedagogical demands placed upon the twelve speakers of the ASI, in meeting the needs of such a gathering. The talks, while exposing current areas of research activity, were required to be as introductory and comprehensive as possible. It is our belief that these goals were achieved, and that these proceedings bear this out. Each of the twelve speakers presented a mini-course of four or five hours duration |
| ISBN,Price | 9789401145602 |
| Keyword(s) | 1. CALCULUS OF VARIATIONS
2. Calculus of Variations and Optimal Control; Optimization
3. EBOOK
4. EBOOK - SPRINGER
5. FUNCTIONAL ANALYSIS
6. FUNCTIONS OF REAL VARIABLES
7. MATHEMATICAL OPTIMIZATION
8. OPTIMIZATION
9. PARTIAL DIFFERENTIAL EQUATIONS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. REAL FUNCTIONS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05048 |
|
|
On Shelf |
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12.
 |
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| Title | Algorithms for Continuous Optimization : The State of the Art |
| Author(s) | Spedicato, E |
| Publication | Dordrecht, Springer Netherlands, 1994. |
| Description | XV, 565 p : online resource |
| Abstract Note | The NATO Advanced Study Institute on "Algorithms for continuous optimiza?? tion: the state of the art" was held September 5-18, 1993, at II Ciocco, Barga, Italy. It was attended by 75 students (among them many well known specialists in optimiza?? tion) from the following countries: Belgium, Brasil, Canada, China, Czech Republic, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Rumania, Spain, Turkey, UK, USA, Venezuela. The lectures were given by 17 well known specialists in the field, from Brasil, China, Germany, Italy, Portugal, Russia, Sweden, UK, USA. Solving continuous optimization problems is a fundamental task in computational mathematics for applications in areas of engineering, economics, chemistry, biology and so on. Most real problems are nonlinear and can be of quite large size. Devel?? oping efficient algorithms for continuous optimization has been an important field of research in the last 30 years, with much additional impetus provided in the last decade by the availability of very fast and parallel computers. Techniques, like the simplex method, that were already considered fully developed thirty years ago have been thoroughly revised and enormously improved. The aim of this ASI was to present the state of the art in this field. While not all important aspects could be covered in the fifty hours of lectures (for instance multiob?? jective optimization had to be skipped), we believe that most important topics were presented, many of them by scientists who greatly contributed to their development |
| ISBN,Price | 9789400903692 |
| Keyword(s) | 1. ALGORITHMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. COMPUTERS
5. EBOOK
6. EBOOK - SPRINGER
7. MATHEMATICAL OPTIMIZATION
8. Numeric Computing
9. NUMERICAL ANALYSIS
10. OPTIMIZATION
11. Theory of Computation
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04986 |
|
|
On Shelf |
|
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14.
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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.
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| 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 |
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519.863/ARO/026077 |
On Shelf |
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+Copy Specific Information | |