Results 31 to 40 of about 10,963,226 (321)
Hermite-Hadamard Type Inequalities for the Class of Convex Functions on Time Scale
We investigate a time scale version of two auxiliary functions for the class of convex functions. We derive several novel dynamic inequalities for these classes of convex functions.
S. Rashid+4 more
semanticscholar +1 more source
On the Sublinear Convergence Rate of Multi-Block ADMM
The alternating direction method of multipliers (ADMM) is widely used in solving structured convex optimization problems. Despite of its success in practice, the convergence properties of the standard ADMM for minimizing the sum of $N$ $(N\geq 3)$ convex
Lin, Tianyi+2 more
core +1 more source
A Robust Accelerated Optimization Algorithm for Strongly Convex Functions [PDF]
This work proposes an accelerated first-order algorithm we call the Robust Momentum Method for optimizing smooth strongly convex functions. The algorithm has a single scalar parameter that can be tuned to trade off robustness to gradient noise versus ...
Saman Cyrus+3 more
semanticscholar +1 more source
Smooth convex extensions of convex functions [PDF]
Final ...
Azagra, Daniel, Mudarra, Carlos
openaire +4 more sources
Convex Functions and Spacetime Geometry
Convexity and convex functions play an important role in theoretical physics. To initiate a study of the possible uses of convex functions in General Relativity, we discuss the consequences of a spacetime $(M,g_{\mu \nu})$ or an initial data set $(\Sigma,
+12 more
core +2 more sources
On Integral Inequalities for Product and Quotient of Two Multiplicatively Convex Functions
In this paper, we derived integral inequalities of Hermite-Hadamard type in the setting of multiplicative calculus for multiplicatively convex and convex functions.
M. Ali+4 more
semanticscholar +1 more source
On Bazilevič and convex functions [PDF]
(2) zf'(z) = f(z)'g(z)lh(z) and (3) Reh(z) = Re(zf'(z)/f(z)'1-,g(z)") > 0 in IzI < 1. Thomas [12] called a function satisfying the condition (3) a Bazilevic function of type /. Let C(r) denote the curve which is the image of the circle Izi =r < 1 under the mapping w =f(z), and let L(r) denote the length of C(r). Let M(r) = maxj2j = r I f(z) 1.
openaire +1 more source
Infima of convex functions [PDF]
Let Γ ( X ) \Gamma (X) be the lower semicontinuous, proper, convex functions on a real normed linear space X X . We produce a simple description of what is, essentially, the weakest topology on Γ ( X ) \Gamma (X) such that the value ...
openaire +1 more source
On the Subdifferentiability of Convex Functions [PDF]
(Thus the subgradients of f correspond to the nonvertical supporting hyperplanes to the convex set consisting of all the points of E (DR lying above the graph of f.) The set of subgradients of f at x is denoted by of(x). If of(x) is not empty, f is said to be subdifferenticable at x.
A. Brøndsted, R. T. Rockafellar
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The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert+4 more
wiley +1 more source