The dual optimization problem in SVM design is solved using: A. Linear programming B. Quadratic programming C. Dynamic programming D. Integer programming
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TIES WITH APPLICATIONS. Padberg & Rijal/ LOCATION, SCHEDULING, DESIGN AND INTEGER PRO-. GRAMMING. Vanderbei/ LINEAR PROGRAMMING. Jaiswal/ MILITARY
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Answer:
In Support Vector Machine(SVM design), linear programming is utilized to tackle optimization problems.
Explanation:
- An optimization problem with a linear objective function, inequality constraints, and equality constraints is known as a linear programme.
- The optimization issue is known as a quadratic programme when the objective function is quadratic and the constraints are all linear.
- Linear programming is a mathematical strategy for maximizing the efficiency of activities under certain constraints.
- It is made up of linear functions with linear equations or inequalities limiting them.
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