Convex analysis

Results: 1100



#Item
641Convex optimization / Operations research / Convex analysis / Linear algebra / Conic optimization / Convex cone / Duality / Linear programming / Conic section / Mathematical optimization / Algebra / Mathematics

Conic Geometric Programming Venkat Chandrasekaranc and Parikshit Shahw c ∗

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Source URL: users.cms.caltech.edu

Language: English - Date: 2013-10-11 00:19:55
642Convex analysis / Operations research / Regression analysis / Least squares / Convex optimization / Semidefinite programming / Linear matrix inequality / Linear programming / Convex function / Mathematical optimization / Mathematics / Mathematical analysis

i NLO i[removed]page 281

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Source URL: www.siam.org

Language: English - Date: 2014-10-28 09:53:55
643Convex function / Concave function / Textbook / Mathematical analysis / Convex analysis / Normal distribution

MOCK TEST #4 (CHAPTER 4) NOV. 3, 2014 Note: This mock test consists of questions covered in chapter 4 of the Math 121 textbook. This test is not comprehensive. The problems on this test were created by your SSS coaches,

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Source URL: www.usask.ca

Language: English - Date: 2014-11-03 18:44:06
644Marginal propensity to save / Textbook / Convex function / Consumption function / Economics / Macroeconomics / Convex analysis / Mathematical analysis

MOCK TEST #3 (CHAPTER 3) OCT. 21, 2014 Note: This mock test consists of questions covered in chapter 3 of the Math 121 textbook. This test is not comprehensive. The problems on this test were created by your SSS coaches

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Source URL: www.usask.ca

Language: English - Date: 2014-10-21 03:10:54
645Geometry / Differential calculus / Concave function / Convex function / Inflection point / Sine / Mathematical analysis / Convex analysis / Mathematics

ANSWERS-MOCK TEST #3 (CHAPTER 3) OCT. 21, 2014 Note: This mock test consists of questions covered in chapter 3 of the Math 121 textbook. This test is not comprehensive. The problems on this test were created by your SSS

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Source URL: www.usask.ca

Language: English - Date: 2014-10-22 03:11:22
646Mathematical analysis / Economics / Convex analysis / Redistribution of wealth / Welfare state / Economic inequality / Social mobility / Mean / Concave function / Socioeconomics / Statistics / Income distribution

SOCIAL MOBILITY AND THE DEMAND FOR REDISTRIBUTION: THE POUM HYPOTHESIS* ROLAND BE´NABOU AND

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Source URL: www.princeton.edu

Language: English - Date: 2004-09-14 10:21:04
647Control theory / Quadratic programming / Optimal control / Model predictive control / Convex optimization / Humanoid robot / Active set / Trajectory optimization / Zero moment point / Mathematical optimization / Systems theory / Mathematical analysis

An Efficiently Solvable Quadratic Program for Stabilizing Dynamic Locomotion Scott Kuindersma, Frank Permenter, and Russ Tedrake Abstract— We describe a whole-body dynamic walking controller implemented as a convex qua

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Source URL: drc.mit.edu

Language: English - Date: 2014-04-06 21:07:31
648Convex analysis / Operations research / Convex optimization / Linear programming / Convex function / Quadratically constrained quadratic program / Optimization problem / Fundamental theorem of linear programming / Shapley–Folkman lemma / Mathematical optimization / Mathematical analysis / Mathematics

PDF Document

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Source URL: www.siam.org

Language: English - Date: 2014-10-28 12:16:17
649Operations research / Convex analysis / Convex optimization / Numerical software / MOSEK / Linear programming / Quadratic programming / Semidefinite programming / Convex function / Mathematical optimization / Mathematics / Algebra

Efficient Mixed-Integer Planning for UAVs in Cluttered Environments Robin Deits1 and Russ Tedrake2 Abstract— We present a new approach to the design of smooth trajectories for quadrotor unmanned aerial vehicles (UAVs),

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Source URL: groups.csail.mit.edu

Language: English - Date: 2014-10-13 14:39:37
650Differential calculus / Mean value theorem / Continuous function / Extreme value theorem / First derivative test / Maxima and minima / Derivative / Fundamental theorem of calculus / Convex function / Mathematical analysis / Mathematics / Calculus

Lecture 9: The mean value theorem Today, we’ll state and prove the mean value theorem and describe other ways in which derivatives of functions give us global information about their behavior. Let f be a real valued fu

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Source URL: math.caltech.edu

Language: English - Date: 2013-10-21 09:46:41
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