These pages contain selected sections of Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Sussman with Julie Sussman. The mobile version was cotributed by Ivan Savov.
The programs are given in JavaScript, translated from Scheme by Martin Henz. If you are interested, here is some information.
Contents
1
Building Abstractions with
Functions
1.1 The Elements of Programming
1.1.1 Expressions
1.1.2 Naming and the Environment
1.1.3 Evaluating Operator Combinations
1.1.4 Functions
1.1.5 The Substitution Model for Function Application
1.1.6 Conditional Statements and Predicates
1.1.7 Example: Square Roots by Newton’s Method
1.1.8 Functions as Black-Box Abstractions
1.2 Functions and the Processes They Generate
1.2.1 Linear Recursion and Iteration
1.2.2 Tree Recursion
1.2.3 Orders of Growth
1.2.4 Exponentiation
1.2.5 Greatest Common Divisors
1.2.6 Example: Testing for Primality
1.3 Formulating Abstractions with Higher-Order Functions
1.3.1 Functions as Arguments
1.3.2 Function Definition Expressions
1.3.3 Functions as General Methods
1.3.4 Functions as Returned Values
2 Building Abstractions with Data
2.1 Introduction to Data Abstraction
2.1.1 Example: Arithmetic Operations for Rational Numbers
2.1.2 Abstraction Barriers
2.1.3 What Is Meant by Data?
2.1.4 Extended Exercise: Interval Arithmetic
2.2 Hierarchical Data and the Closure Property
2.2.1 Representing Sequences
2.2.2 Hierarchical Structures
2.2.3 Sequences as Conventional Interfaces
2.2.4 Example: A Picture Language
2.3 Symbolic Data
2.3.1 Strings
2.3.2 Example: Symbolic Differentiation
2.3.3 Example: Representing Sets
2.3.4 Example: Huffman Encoding Trees
2.4 Multiple Representations for Abstract Data
2.4.1 Representations for Complex Numbers
2.4.2 Tagged data
2.4.3 Data-Directed Programming and Additivity
2.5 Systems with Generic Operations
2.5.1 Generic Arithmetic Operations
2.5.2 Combining Data of Different Types
1.1 The Elements of Programming
1.1.1 Expressions
1.1.2 Naming and the Environment
1.1.3 Evaluating Operator Combinations
1.1.4 Functions
1.1.5 The Substitution Model for Function Application
1.1.6 Conditional Statements and Predicates
1.1.7 Example: Square Roots by Newton’s Method
1.1.8 Functions as Black-Box Abstractions
1.2 Functions and the Processes They Generate
1.2.1 Linear Recursion and Iteration
1.2.2 Tree Recursion
1.2.3 Orders of Growth
1.2.4 Exponentiation
1.2.5 Greatest Common Divisors
1.2.6 Example: Testing for Primality
1.3 Formulating Abstractions with Higher-Order Functions
1.3.1 Functions as Arguments
1.3.2 Function Definition Expressions
1.3.3 Functions as General Methods
1.3.4 Functions as Returned Values
2 Building Abstractions with Data
2.1 Introduction to Data Abstraction
2.1.1 Example: Arithmetic Operations for Rational Numbers
2.1.2 Abstraction Barriers
2.1.3 What Is Meant by Data?
2.1.4 Extended Exercise: Interval Arithmetic
2.2 Hierarchical Data and the Closure Property
2.2.1 Representing Sequences
2.2.2 Hierarchical Structures
2.2.3 Sequences as Conventional Interfaces
2.2.4 Example: A Picture Language
2.3 Symbolic Data
2.3.1 Strings
2.3.2 Example: Symbolic Differentiation
2.3.3 Example: Representing Sets
2.3.4 Example: Huffman Encoding Trees
2.4 Multiple Representations for Abstract Data
2.4.1 Representations for Complex Numbers
2.4.2 Tagged data
2.4.3 Data-Directed Programming and Additivity
2.5 Systems with Generic Operations
2.5.1 Generic Arithmetic Operations
2.5.2 Combining Data of Different Types