Results 31 to 40 of about 12,270,400 (133)
Best Approximation Of Bounded Functions By Continuous Functions
, 2015 [No abstract available]412135148Amir, Chebyshev centers and uniform convexity (1978) Pacific Journal of Mathematics, 77, pp. 1-6Amir, Deutsch, Approximation by certain subspaces in the Banach space of continuous vector-valued functions (1979) J.
Roversi M.S.M., ROVERSI, MSM
core +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
Mathematical Finance, Volume 36, Issue 4, Page 751-770, October 2026.ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Chebyshev approximation by γ-polynomials [PDF]
, 1973 Best approximation in the sense of Chebyshev is not always unique for γ-polynomials. In this paper we prove that in the normal case the number of best approximations is finite.
Braess, Dietrich
core +1 more source
Journal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.Eighty‐eight novel energetic compounds based on 5‐H‐imidazo‐[4,5‐c]pyridazine and 1,2,4‐triazolo‐[4,3‐a]pyrazine scaffolds, functionalized with nitro, nitramino, azido, and nitrate ester groups, were theoretically evaluated by DFT. Nine candidates surpassed RDX in density and detonation performance while maintaining acceptable impact sensitivity.
Luciana Amorim da Silva +3 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.This study develops a gradient‐based multi‐start Nelder–Mead optimization framework for Casson‐micropolar blood‐analog nanofluid flow with gold nanoparticles in a convectively heated, exothermic microchannel, motivated by photothermal drug delivery. Spectral collocation solves coupled momentum, microrotation, and energy equations, from which entropy ...
Mojeed T. Akolade +7 more
wiley +1 more source
Alternating Chebyshev approximation
, 1973 An approximating family is called alternating if a best Chebyshev approximation is characterized by its error curve having a certain number of alternations. The convergence properties of such families are studied.
Charles B. Dunham
core +1 more source
Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians
Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley +1 more source
Chebyshev polynomial approximation to approximate partial differential equations [PDF]
This pa per suggests a simple method based on Chebyshev approximation at Chebyshev nodes to approximate partial differential equations. The methodology simply consists in determining the value function by using a set of nodes and basis functions.
Guglielmo Maria Caporale, Mario Cerrato
core
The best quintic Chebyshev approximation of circular arcs of order ten [PDF]
, 2019 Mathematically, circles are represented by trigonometric parametric equations and implicit equations. Both forms are not proper for computer applications and CAD systems.
Rababah, Abedallah M., Abedallah Rababah
core +1 more source
On Elliott's conjecture and applications
Proceedings of the London Mathematical Society, Volume 133, Issue 3, September 2026.Abstract Let f:N→D$f:\mathbb {N}\rightarrow \mathbb {D}$ be a multiplicative function. Under the merely necessary assumption that f$f$ is nonpretentious (in the sense of Granville and Soundararajan), we show that for any pair of distinct integer shifts h1,h2$h_1,h_2$, the two‐point correlation 1x∑n⩽xf(n+h1)f¯(n+h2)$$\begin{equation*} \frac{1}{x}\sum _ ...
Oleksiy Klurman +2 more
wiley +1 more source