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Periodical
Majallah-i pizhūhish-i fīzīk-i Īrān.
Authors: ---
ISSN: 16826957 23453664 Year: 1995 Publisher: Iṣfahān : Anjuman-i Fīzīk-i Īrān : Dānishgāh-i Ṣanʻatī-i Iṣfahān

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Periodical
St. Petersburg Polytechnical University Journal.
Authors: ---
ISSN: 24057223 Publisher: [St. Petersburg] : [Netherlands] : St. Petersburg : [Sankt-Peterburgskiĭ gosudarstvennyĭ politekhnicheskiĭ universitet] Elsevier B.V. Sankt-Peterburgskiĭ politekhnicheskiĭ universitet Petra Velikogo

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Book
Karl Popper, science and enlightenment
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Year: 2017 Publisher: UCL Press

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Here is an idea that just might save the world. It is that science, properly understood, provides us with the methodological key to the salvation of humanity. A version of this idea can be found in the works of Karl Popper. Famously, Popper argued that science cannot verify theories but can only refute them, and this is how science makes progress. Scientists are forced to think up something better, and it is this, according to Popper, that drives science forward. But Nicholas Maxwell finds a flaw in this line of argument. Physicists only ever accept theories that are unified – theories that depict the same laws applying to the range of phenomena to which the theory applies – even though many other empirically more successful disunified theories are always available. This means that science makes a questionable assumption about the universe, namely that all disunified theories are false. Without some such presupposition as this, the whole empirical method of science breaks down. By proposing a new conception of scientific methodology, which can be applied to all worthwhile human endeavours with problematic aims, Maxwell argues for a revolution in academic inquiry to help humanity make progress towards a better, more civilized and enlightened world.


Book
The Padé approximant in theoretical physics
Authors: ---
ISBN: 0120748509 9786612755354 1282755358 0080955800 9780080955803 9780120748501 Year: 1970 Volume: v. 71 Publisher: New York : Academic Press,

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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank

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