Classroom Voting Questions: Precalculus Exponential Functions 1. The graph of a function is either concave up or concave down. (a) True, and I am very confident (b) True, but I am not very confident (c) False, but I am n

Source URL: mathquest.carroll.edu

CLASS QUIZ: OCTOBER 24: CONCAVE, INFLECTIONS, TANGENTS, CUSPS, ASYMPTOTES MATH 152, SECTION 55 (VIPUL NAIK) Your name (print clearly in capital letters): (1) Consider the function f (x) := x3 (x − 1)4 (x − 2)2 . Whic

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Mookherjee EC 721 SOLUTIONS TO PROBLEM SET 1 1. Consider the model of farming households in an economy with a smooth, strictly concave CRS production function f (h, n) of land and labor used in cultivation, and a utilit

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JMLR: Workshop and Conference Proceedings vol 40:1–26, 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions Alexandre Belloni The Fuqua School of Business, Duke Univer

Source URL: jmlr.org

• Mathematical analysis
• Analysis
• Mathematics
• Convex analysis
• Logarithmically concave function
• Convex function
• Central limit theorem
• Normal distribution
• Convex optimization
• Expected value
• Distribution
• Rejection sampling

Ec721 PROBLEM SET 1 1. Consider the Eswaran-Kotwal model of farming households in an economy with a smooth, strictly concave CRS production function f (h, n) of land and labor used in cultivation, and a utility function

Source URL: people.bu.edu

• Capital
• Social inequality
• Distribution of wealth
• Economic globalization
• Economic inequality
• Income distribution
• Financial capital
• Wealth

Survivor curve shape and internet revenue: A laboratory experiment. Christina Aperjis HP Labs, 1501 Page Mill Rd, Palo Alto, CACiril Bosch-Rosa

Source URL: www.macroeconomics.tu-berlin.de

• Convex analysis
• Logarithmically concave function
• Convex function
• Concave
• Convex set
• Probability distribution
• Expected value
• Logarithm

CONCAVITY, INFLECTIONS, CUSPS, TANGENTS, AND ASYMPTOTES MATH 152, SECTION 55 (VIPUL NAIK) Corresponding material in the book: Section 4.6, 4.7. Difficulty level: Moderate to hard. If you have seen these topics in AP Calc

Source URL: files.vipulnaik.com

• Differential calculus
• Mathematical analysis
• Functions and mappings
• Smooth functions
• Convex analysis
• Inflection point
• Derivative test
• Concave function
• Second derivative
• Critical point
• Convex function
• Derivative

A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract

Source URL: www-stat.wharton.upenn.edu

• Monte Carlo methods
• Markov chain Monte Carlo
• Non-uniform random numbers
• Probability distributions
• Computational statistics
• Gibbs sampling
• Rejection sampling
• MetropolisHastings algorithm
• Slice sampling
• Bayesian network
• Quasiconvex function
• Normal distribution

Jensen’s inequalityWritten by Felix Lazebnik. Let f be a function concave up on (a, b), i.e., for any x1 , x2 ∈ (a, b),   x1 + x2

Source URL: www.math.udel.edu

Midterm Exam, Econ 210A, FallElmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. Find each of the following for Elmer: • His Marshallian demand function for each good.

Source URL: econ.ucsb.edu

• Concave function
• Convex function
• Quasiconvex function
• Utility
• Hessian matrix
• Expected utility hypothesis
• Insurance
• Dracula
• Logarithmically concave function
• Mathematical analysis
• Mathematical optimization
• Convex analysis