固體物理學是研究和預測材料基本物理性質的學科，是現代材料科學的支柱，有著廣泛的技術應用。

Solid state physics, the study and prediction of the fundamental physical properties of materials, forms the backbone of modern materials science and has many technological applications.

本文的特點是基于MATLAB（R）的計算方法，包括多種數值技術和仿真方法。

The unique feature of this text is the MATLAB?-based computational approach with several numerical techniques and simulation methods included.

這是非常有效的解決需要可視化和直接動手學習固體物理理論概念的方法。

This is highly effective in addressing the need for visualization and a direct hands-on approach in learning the theoretical concepts of solid state physics.

所有教科書用戶都可以免費使用該代碼。

The code is freely available to all textbook users.

其它功能：使用計算物理的教學工具，在加強固體物理等高級學科的物理教學中起著重要作用

Additional Features:Uses the pedagogical tools of computational physics that have become important in enhancing physics teaching of advanced subjects such as solid state physics

將可視化和模擬仿真添加到主題中，使學生能夠積極參與動手教學

Adds visualization and simulation to the subject in a way that enables students to participate actively in a hand-on approach

涵蓋固態物理的基本概念，讓學生對主題有更深的理解

Covers the basic concepts of solid state physics and provides students with a deeper understanding of the subject matter

提供貫穿全文的獨特示例練習

Provides unique example exercises throughout the text

獲得數學解析解

Obtains mathematical analytical solutions

使用編程腳本對重要公式結果進行說明，學生可以自己運行并再現圖形和/或模擬仿真

Carries out illustrations of important formulae results using programming scripts that students can run on their own and reproduce graphs and/or simulations

利用MATLAB（R）幫助學生形象化固態過程，應用一定的數值技術使固態物理的學習過程更加有效

Helps students visualize solid state processes and apply certain numerical techniques using MATLAB?, making the process of learning solid state physics much more effective

通過使用章末練習加強章節內討論的示例

Reinforces the examples discussed within the chapters through the use of end-of-chapter exercises

包括了簡單的分析和數值例子、更具挑戰性的問題，通過計算問題運行代碼，創建新的或修改現有的解決問題或再現某些結果

Includes simple analytical and numerical examples to more challenging ones, as well as computational problems with the opportunity to run codes, create new ones, or modify existing ones to solve problems or reproduce certain results.

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