mathlandscape.comの競合サイトトップ10

3blue1brown.com

Mathematics with a distinct visual perspective. Linear algebra, calculus, neural networks, topology, and more.

manabitimes.jp

主に教科書に載っていない高校数学の公式・小技集です。裏技，検算テクニック，エレガントな定理などを，豊富な応用例・図によるイメージ・エレガントな証明とともに紹介。

ja.overleaf.com

簡単に使用できるオンラインLaTeXエディター。インストール不要、リアルタイムコラボレーション、バージョン管理、何百種類のLaTeXテンプレートなど多数の機能。

mathalino.com

mathalino is a valuable resource for engineering students, providing a wealth of content related to mathematics and engineering. we offer free online courses and exams covering various engineering topics from college algebra to strength of materials. whether you’re preparing for exams or seeking additional resources for your engineering studies, mathalino is a valuable companion! in addition, feel free to explore our youtube videos.

takataninote.com

大学数学の解説サイト

medemanabu.net

ここでは (LaTeX) の文字に色をつける方法を紹介します。 文字に色をつけるには、colorコマンド、あるいは

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as an easy (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.

transum.org

A large collection of free interactive online activity supporting the teaching and learning of Mathematics.

momoyama-usagi.com

こんにちは、ももやまです。 出口調査を理解するためには、統計学の基礎的な知識が必