Creating A New LISP Interpreter
Introduction
The philosophy of LISP helps in solving problems. The philosophy is based upon the idea of breaking a problem into smaller parts. For example, when there are many tasks to do, the philosophy of LISP is to make areas, meta areas, where the problem is broken in parts, and the solve each part. The next part is to solve a problem by considering the first and next part of task. The first part of the meta task is what is worked on first with a link to the next part of the meta task. The idea is to concentrate your abilities. The concentration of abilities helps to keep focus and not be overwhelmed by what is present.
In this book, I am planning on describing the solving philosophies and showing how the ideas can be used to develop a simple computer program for a LISP interpreter. The philosophy used for problem solving will be applied to the development of the program. The idea is to show the actual practice in two forms, one in a general problem form and the other in a computer problem solving form.
You do not need to understand how to write a computer program as I will illustrate the examples in non tech form. The programming code is provided to show a second example of applying the philosophies of breaking a problem into parts and organizing the solution into the first part and the next part. The method I will use to explain the programming code is a process called "Literate Programming." The "Literate Programming" process is a way to explain the idea rather than the actual syntax to develop it. Thus, the explanation is semantic using everyday examples to avoid a tech syntactical explanation.
In Chapter 6, I expand the use of the LISP to interpreter to consider the comprehension of meaning. I define the three constructs needed to formulate meaning as lexical analysis, syntactical analysis, and semantic analysis. A question considered is that does a different sentence structure convey a different meaning? From this analysis, 6 lemmas are proposed to for the formal evaluation of meaning..
Chapter seven contains the complete code for the Simple Lisp program. The complete code includes the main program, lexical scanner, and lisp processing code. The main program provides the user interface and linkage elements to the lexical scanner and lisp processing core. The lexical scanner provides the complete lexical scanner lisp, and the lisp processing core includes the five primary functions along with the makeList() and evaluate() modules.
Sincerely,
Diana Kaneck
1134981915
The philosophy of LISP helps in solving problems. The philosophy is based upon the idea of breaking a problem into smaller parts. For example, when there are many tasks to do, the philosophy of LISP is to make areas, meta areas, where the problem is broken in parts, and the solve each part. The next part is to solve a problem by considering the first and next part of task. The first part of the meta task is what is worked on first with a link to the next part of the meta task. The idea is to concentrate your abilities. The concentration of abilities helps to keep focus and not be overwhelmed by what is present.
In this book, I am planning on describing the solving philosophies and showing how the ideas can be used to develop a simple computer program for a LISP interpreter. The philosophy used for problem solving will be applied to the development of the program. The idea is to show the actual practice in two forms, one in a general problem form and the other in a computer problem solving form.
You do not need to understand how to write a computer program as I will illustrate the examples in non tech form. The programming code is provided to show a second example of applying the philosophies of breaking a problem into parts and organizing the solution into the first part and the next part. The method I will use to explain the programming code is a process called "Literate Programming." The "Literate Programming" process is a way to explain the idea rather than the actual syntax to develop it. Thus, the explanation is semantic using everyday examples to avoid a tech syntactical explanation.
In Chapter 6, I expand the use of the LISP to interpreter to consider the comprehension of meaning. I define the three constructs needed to formulate meaning as lexical analysis, syntactical analysis, and semantic analysis. A question considered is that does a different sentence structure convey a different meaning? From this analysis, 6 lemmas are proposed to for the formal evaluation of meaning..
Chapter seven contains the complete code for the Simple Lisp program. The complete code includes the main program, lexical scanner, and lisp processing code. The main program provides the user interface and linkage elements to the lexical scanner and lisp processing core. The lexical scanner provides the complete lexical scanner lisp, and the lisp processing core includes the five primary functions along with the makeList() and evaluate() modules.
Sincerely,
Diana Kaneck
Creating A New LISP Interpreter
Introduction
The philosophy of LISP helps in solving problems. The philosophy is based upon the idea of breaking a problem into smaller parts. For example, when there are many tasks to do, the philosophy of LISP is to make areas, meta areas, where the problem is broken in parts, and the solve each part. The next part is to solve a problem by considering the first and next part of task. The first part of the meta task is what is worked on first with a link to the next part of the meta task. The idea is to concentrate your abilities. The concentration of abilities helps to keep focus and not be overwhelmed by what is present.
In this book, I am planning on describing the solving philosophies and showing how the ideas can be used to develop a simple computer program for a LISP interpreter. The philosophy used for problem solving will be applied to the development of the program. The idea is to show the actual practice in two forms, one in a general problem form and the other in a computer problem solving form.
You do not need to understand how to write a computer program as I will illustrate the examples in non tech form. The programming code is provided to show a second example of applying the philosophies of breaking a problem into parts and organizing the solution into the first part and the next part. The method I will use to explain the programming code is a process called "Literate Programming." The "Literate Programming" process is a way to explain the idea rather than the actual syntax to develop it. Thus, the explanation is semantic using everyday examples to avoid a tech syntactical explanation.
In Chapter 6, I expand the use of the LISP to interpreter to consider the comprehension of meaning. I define the three constructs needed to formulate meaning as lexical analysis, syntactical analysis, and semantic analysis. A question considered is that does a different sentence structure convey a different meaning? From this analysis, 6 lemmas are proposed to for the formal evaluation of meaning..
Chapter seven contains the complete code for the Simple Lisp program. The complete code includes the main program, lexical scanner, and lisp processing code. The main program provides the user interface and linkage elements to the lexical scanner and lisp processing core. The lexical scanner provides the complete lexical scanner lisp, and the lisp processing core includes the five primary functions along with the makeList() and evaluate() modules.
Sincerely,
Diana Kaneck
The philosophy of LISP helps in solving problems. The philosophy is based upon the idea of breaking a problem into smaller parts. For example, when there are many tasks to do, the philosophy of LISP is to make areas, meta areas, where the problem is broken in parts, and the solve each part. The next part is to solve a problem by considering the first and next part of task. The first part of the meta task is what is worked on first with a link to the next part of the meta task. The idea is to concentrate your abilities. The concentration of abilities helps to keep focus and not be overwhelmed by what is present.
In this book, I am planning on describing the solving philosophies and showing how the ideas can be used to develop a simple computer program for a LISP interpreter. The philosophy used for problem solving will be applied to the development of the program. The idea is to show the actual practice in two forms, one in a general problem form and the other in a computer problem solving form.
You do not need to understand how to write a computer program as I will illustrate the examples in non tech form. The programming code is provided to show a second example of applying the philosophies of breaking a problem into parts and organizing the solution into the first part and the next part. The method I will use to explain the programming code is a process called "Literate Programming." The "Literate Programming" process is a way to explain the idea rather than the actual syntax to develop it. Thus, the explanation is semantic using everyday examples to avoid a tech syntactical explanation.
In Chapter 6, I expand the use of the LISP to interpreter to consider the comprehension of meaning. I define the three constructs needed to formulate meaning as lexical analysis, syntactical analysis, and semantic analysis. A question considered is that does a different sentence structure convey a different meaning? From this analysis, 6 lemmas are proposed to for the formal evaluation of meaning..
Chapter seven contains the complete code for the Simple Lisp program. The complete code includes the main program, lexical scanner, and lisp processing code. The main program provides the user interface and linkage elements to the lexical scanner and lisp processing core. The lexical scanner provides the complete lexical scanner lisp, and the lisp processing core includes the five primary functions along with the makeList() and evaluate() modules.
Sincerely,
Diana Kaneck
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Creating A New LISP Interpreter
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Product Details
BN ID: | 2940163103355 |
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Publisher: | Diana Kanecki |
Publication date: | 11/18/2019 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 171 KB |
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