If I divide a monoton concave upper and lower bounded function by a linear function, whould the result be concave? Or even easy to optimize?
2026-03-26 09:45:09.1774518309
Optimize concave function divided by a linear function
499 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in OPTIMIZATION
- Optimization - If the sum of objective functions are similar, will sum of argmax's be similar
- optimization with strict inequality of variables
- Gradient of Cost Function To Find Matrix Factorization
- Calculation of distance of a point from a curve
- Find all local maxima and minima of $x^2+y^2$ subject to the constraint $x^2+2y=6$. Does $x^2+y^2$ have a global max/min on the same constraint?
- What does it mean to dualize a constraint in the context of Lagrangian relaxation?
- Modified conjugate gradient method to minimise quadratic functional restricted to positive solutions
- Building the model for a Linear Programming Problem
- Maximize the function
- Transform LMI problem into different SDP form
Related Questions in CONVEX-OPTIMIZATION
- Optimization - If the sum of objective functions are similar, will sum of argmax's be similar
- Least Absolute Deviation (LAD) Line Fitting / Regression
- Check if $\phi$ is convex
- Transform LMI problem into different SDP form
- Can a linear matrix inequality constraint transform to second-order cone constraint(s)?
- Optimality conditions - necessary vs sufficient
- Minimization of a convex quadratic form
- Prove that the objective function of K-means is non convex
- How to solve a linear program without any given data?
- Distance between a point $x \in \mathbb R^2$ and $x_1^2+x_2^2 \le 4$
Related Questions in LINEAR-PROGRAMMING
- Proving dual convex cone property
- Linear algebra: what is the purpose of passive transformation matrix?
- Building the model for a Linear Programming Problem
- Show that $ \ x_ 0 \ $ cannot be an optimal solution
- Is there any way to model this situation in integer programming?
- How to Solve a Linear Programming Problem in $n$ Dimension Space?
- How to solve a linear program without any given data?
- Constraints for continuous path within graph with at least one obligatory node in path
- Select the smallest strict positive value from a list of variables in a linear program.
- How to add nonnegative constraint to an LP problem
Related Questions in MONOTONE-FUNCTIONS
- Monotonicity of a differentiable positive function
- Convexity, Monotonicity, Positivity
- Monotonicity of function $f(x)=\sqrt[3]{(x+1)^2}-\sqrt[3]{x^2}$
- Sufficient/necessary condition for submatrix determinant (minor) that decreases with size?
- Composition of a non-increasing and a non-decreasing function
- Choosing right options based on given condition of differentiabile function
- Nowhere Monotonic/ Differentiable function proof
- Lebesgue's monotone convergence theorem, - boundedness
- Power of a decreasing sequence of positive reals.
- Does a monotone function exist such that there is a "simple" closed form for itself as well as its inverse?
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
In general, the result would not necessarily be concave. For instance, $x^{1/2}$ is concave, but $x^{1/2}/x$ is convex.
However, if the numerator is a concave quadratic and the denominator is a nonnegative linear (affine) function over its domain, the result is an easy to maximize concave function. If the numerator is a concave quadratic and the denominator is a nonpositive linear (affine) function over its domain, the result is an easy to minimize convex function. See the last paragraph of Example 3.4 on p. 76 of "Convex Optimization" by Boyd and Vandenberghe. If using CVX, the function
quad_over_lincan be used to implement such cases.Boundedness of the numerator is irrelevant to whether the quotient is concave.