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- Signals and Systems, 3rd edition, N. Levan, Optimization Software, Inc., New York, ISBN 0-911575-63-4, 1992.7 KB (1,153 words) - 14:06, 24 August 2009
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|9 KB (1,341 words) - 11:15, 10 June 2013
- ...o solve. So, fix <math>|\vec{w}|=1</math>, but then this is a "constraint optimization problem" (did i screw up this description? --[[User:Mreeder|Mreeder]] 21:569 KB (1,536 words) - 07:26, 12 April 2010
- ...s" in the case where the data is not linearly separable. We noted that the optimization problem in that case involves inner products between the training samples,1 KB (188 words) - 10:36, 16 April 2010
- ...alytically or numerically minimizing <math>e^{-f(\beta)}</math>, therefore optimization is now in the one dimensional β space.5 KB (806 words) - 09:08, 11 May 2010
- =[[MA421]]: "Linear Programming and Optimization Techniques"= "optimization problems". In all cases, one wants to minimize or maximize a2 KB (266 words) - 07:29, 4 January 2011
- ...to one or more constraints; it is the basic tool in nonlinear constrained optimization. Simply put, the technique is able to determine where on a particular set o ...roblems. It can be shown that the solutions of these derived unconstrained optimization problems will converge to the solution of the original constrained problem.31 KB (4,787 words) - 18:21, 22 October 2010
- =MA421: "Linear Programming and Optimization Techniques"=768 B (100 words) - 11:33, 11 November 2010
- ...lly use as one of the optimization problem solvers. In general, to solve a optimization problem, you need to have an objective (what do you want to solve? Do you w There are many software that help you solve optimization problems. In this page, I will focus on how to use GAMS.5 KB (736 words) - 09:14, 11 April 2013
- ...application of signal processing in agriculture, such as yield mapping or optimization of fertilizer or pesticide application. This research is supervised by Prof5 KB (721 words) - 12:18, 9 February 2012
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|3 KB (413 words) - 11:17, 10 June 2013
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- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|6 KB (833 words) - 11:16, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|6 KB (813 words) - 11:18, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|6 KB (946 words) - 11:18, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]| This gives a [[Quadratic Optimization Problem_OldKiwi]]: Minimize <math>\frac{1}{2}||\vec{c}||^2</math> subject t8 KB (1,278 words) - 11:19, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]| (continued from [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|Lecture 12]])9 KB (1,389 words) - 11:19, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|13 KB (2,098 words) - 11:21, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|8 KB (1,246 words) - 11:21, 10 June 2013
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- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|7 KB (1,082 words) - 11:23, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]| Query selection => numerical optimization problem.7 KB (1,055 words) - 11:23, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|6 KB (837 words) - 11:23, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|7 KB (1,091 words) - 11:23, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|9 KB (1,276 words) - 11:24, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]| to speed up optimization of J8 KB (1,299 words) - 11:24, 10 June 2013
- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|8 KB (1,214 words) - 11:24, 10 June 2013
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- [[Lecture 12 - Support Vector Machine and Quadratic Optimization Problem_OldKiwi|12]]|10 KB (1,704 words) - 11:25, 10 June 2013
- *Often we are looking at optimization problems whose performance is exponential. ...ints are called feasible solutions.<br>o A feasible solution for which the optimization function has the best possible value<br>is called an optimal solution.10 KB (1,828 words) - 07:01, 21 March 2013
- [[Category:optimization]] ...th>\color{blue}\text{1. } \left( \text{20 pts} \right) \text{ Consider the optimization problem, }</math></span></font>11 KB (1,693 words) - 10:09, 13 September 2013
- **Question 3: Optimization8 KB (952 words) - 22:00, 1 August 2019
- [[Category:optimization]]9 KB (1,284 words) - 10:10, 13 September 2013
- [[Category:optimization]]8 KB (1,062 words) - 10:10, 13 September 2013
- [[Category:optimization]]8 KB (1,179 words) - 10:10, 13 September 2013
- [[Category:optimization]] ...blue}\text{5. } \left( \text{20 pts} \right) \text{ Consider the following optimization problem, }</math></span></font>17 KB (2,526 words) - 10:11, 13 September 2013
- [[Category:optimization]] Question 3: Optimization6 KB (855 words) - 10:17, 13 September 2013
- [[Category:optimization]] Question 3: Optimization4 KB (528 words) - 10:17, 13 September 2013
- [[Category:optimization]]2 KB (331 words) - 10:11, 13 September 2013
- [[Category:optimization]]11 KB (1,373 words) - 10:12, 13 September 2013
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- [[Category:optimization]]5 KB (593 words) - 10:12, 13 September 2013
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