Free to try
Licenses starting at $30
PP Fragment is born from vintage lettering and signs, bridging 19th-century letterforms and contemporary typography ● Pangram Pangram’s 35th release uses the latest technology, gracefully oscillating between an elegant, highly contrasted Serif face, a revival mid-serif called Glare, and a strong Sans, each with distinct features yet perfectly complementary.
It comes in 4 preset cuts, Sans, Serif, Glare, and Text, each with unique personalities and quirks. Each weight counts 581 glyphs with plenty of alternate symbols to achieve the best-desired result for your next design.
Its power and versatility also comes from its 32 very distinct and unique weights plus italics! These weights were carefully crafted and cut for maximum breath of ability ▲ PP Fragment doesn’t disappoint and will surely be one of your best tools in your next design endeavour.
Styles | 18 Styles with 581 Glyphs each Including Italic Cuts |
Designers | |
Collaborator | |
Latest Update | April 2023 |
Version | 2.00 |
Available Formats | OTF, TTF, WOFF, WOFF2 |
Specimen | Download PDF |
Hence, the well-formed formulae of the fragment are a subset of those in the original logic. However, the semantics of the formulae in the fragment and in the logic coincide, and any formula of the fragment can be expressed in the original logic. The computational complexity of tasks such as satisfiability or model checking for the logical fragment can be no higher than the same tasks in the original logic, as there is a reduction from the first problem to the other. An important problem in computational logic is to determine fragments of well-known logics such as first-order logic that are as expressive as possible yet are decidable or more strongly have low computational complexity. The field of descriptive complexity theory aims at establishing a link between logics and computational complexity theory, by identifying logical fragments that exactly capture certain complexity classes. Computational complexity theory focuses on classifying computational problems according to their resource usage, and relating these classes to each other. A computational problem is a task solved by a computer. A computation problem is solvable by mechanical application of mathematical steps, such as an algorithm. A problem is regarded as inherently difficult if its solution requires significant resources, whatever the algorithm used. The theory formalizes this intuition, by introducing mathematical models of computation to study these problems and quantifying their computational complexity, i.e., the amount of resources needed to solve them, such as time and storage. Other measures of complexity are also used, such as the amount of communication (used in communication complexity), the number of gates in a circuit (used in circuit complexity) and the number of processors (used in parallel computing). One of the roles of computational complexity theory is to determine the practical limits on what computers can and cannot do. The P versus NP problem, one of the seven Millennium Prize Problems, is dedicated to the field of computational complexity.
In mathematical logic, a fragment of a logical language or theory is a subset of this logical language obtained by imposing syntactical restrictions on the language.
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