標(biāo)題: Titlebook: Complexity of Lattice Problems; A Cryptographic Pers Daniele Micciancio,Shafi Goldwasser Book 2002 Springer Science+Business Media New York [打印本頁(yè)] 作者: 信賴(lài) 時(shí)間: 2025-3-21 18:42
書(shū)目名稱(chēng)Complexity of Lattice Problems影響因子(影響力)
書(shū)目名稱(chēng)Complexity of Lattice Problems影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Complexity of Lattice Problems網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Complexity of Lattice Problems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Complexity of Lattice Problems被引頻次
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書(shū)目名稱(chēng)Complexity of Lattice Problems讀者反饋
書(shū)目名稱(chēng)Complexity of Lattice Problems讀者反饋學(xué)科排名
作者: 加花粗鄙人 時(shí)間: 2025-3-21 23:23 作者: Talkative 時(shí)間: 2025-3-22 01:30 作者: 雜役 時(shí)間: 2025-3-22 05:41
Basics,This book is about algorithmic problems on point lattices, and their computational complexity. In this chapter we give some background about lattices and complexity theory.作者: 說(shuō)明 時(shí)間: 2025-3-22 09:36 作者: 心胸狹窄 時(shí)間: 2025-3-22 16:38
The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/c/image/231697.jpg作者: 心胸狹窄 時(shí)間: 2025-3-22 19:51 作者: coagulation 時(shí)間: 2025-3-22 22:31
978-1-4613-5293-8Springer Science+Business Media New York 2002作者: 剛開(kāi)始 時(shí)間: 2025-3-23 05:27 作者: Seminar 時(shí)間: 2025-3-23 06:24
Statistical Continuum Mechanicstime is concerned. In particular, they terminate within a time bound that is polynomial in the size of the input. However, these algorithms offer very poor guarantees on the quality of the solution returned: the worst-case approximation factor achieved by the best known polynomial time algorithm is 作者: 笨拙的你 時(shí)間: 2025-3-23 11:59
Statistical Continuum Mechanicsto find the shortest nonzero vector in the lattice generated by . . In Chapter 3 we have already studied another important algorithmic problem on lattices: the closest vector problem (CVP). In CVP, in addition to the lattice basis ., one is given a target vector ., and the goal is to find the lattic作者: 大廳 時(shí)間: 2025-3-23 13:51
Philip Kokic,Jens Breckling,Oliver Lübkeen that the minimum distance between lattice points (or, equivalently, the length of the shortest non-zero vector in the lattice) is at least λ? Clearly the answer depends on the ratio λ/. only, as both the lattice and the sphere can be scaled up or down preserving λ/.. If we drop the requirement th作者: Ganglion 時(shí)間: 2025-3-23 20:55 作者: Carcinoma 時(shí)間: 2025-3-24 00:42
Philip Kokic,Jens Breckling,Oliver Lübkemplexity point of view. In fact, the algorithms presented in Chapter 2 to approximately solve SVP and CVP do somehow more than just finding an approximately shortest lattice vector, or a lattice vector approximately closest to a given target. For example, the LLL algorithm on input a lattice basis .作者: 人類(lèi)學(xué)家 時(shí)間: 2025-3-24 05:22 作者: 揭穿真相 時(shí)間: 2025-3-24 06:45 作者: invert 時(shí)間: 2025-3-24 13:33
Statistical Continuum Mechanicsiew, and, in particular we investigate the hardness of the closest vector problem. We first consider the problem of solving CVP exactly, and prove that this problem is hard for NP. Therefore no efficient algorithm to solve CVP exists, unless P equals NP.作者: 并排上下 時(shí)間: 2025-3-24 17:22 作者: Limited 時(shí)間: 2025-3-24 20:14 作者: Endemic 時(shí)間: 2025-3-25 00:13
Low-Degree Hypergraphs,ces or matrices. A . is a pair (., .), where . is a finite set of . and . is a collection of subsets of ., called .. If all the elements of . have the same size, then we say that (., .) is ., and the common size of all hyperedges is called the . of the hypergraph.作者: 檔案 時(shí)間: 2025-3-25 05:21
0893-3405 d. De- spite their apparent simplicity, lattices hide a rich combinatorial struc- ture, which has attracted the attention of great mathematicians over the last two centuries. Not surprisingly, lattices have found numerous ap- plications in mathematics and computer science, ranging from number theory作者: PATRI 時(shí)間: 2025-3-25 08:12 作者: sed-rate 時(shí)間: 2025-3-25 12:13
Statistical Continuum Mechanics norm. In this chapter, we investigate the computational complexity of SVP in any . . norm other than . ., with special attention to the Euclidean norm . .. In the rest of this chapter the . . norm is assumed, unless explicitly stated otherwise.作者: separate 時(shí)間: 2025-3-25 18:31
Philip Kokic,Jens Breckling,Oliver Lübke+ ., the centers of the balls are inside a sphere of radius .. We want to determine for which values of λ/. we can pack exponentially (in .) many points. Here, and in the rest of this chapter, “exponential” means a function of the form [2^{n^c }] for some fixed constant . independent of ..)作者: Nonporous 時(shí)間: 2025-3-25 23:29
Philip Kokic,Jens Breckling,Oliver LübkeThe problem of finding a “good” basis for a given lattice is generically called the . problem. Unfortunately, there is not a unique, clearly defined notion of what makes a basis good, and several different definitions of reduced basis have been suggested. In this chapter we consider the most importa作者: Maximize 時(shí)間: 2025-3-26 02:46 作者: cunning 時(shí)間: 2025-3-26 07:53 作者: floaters 時(shí)間: 2025-3-26 11:36
Shortest Vector Problem, norm. In this chapter, we investigate the computational complexity of SVP in any . . norm other than . ., with special attention to the Euclidean norm . .. In the rest of this chapter the . . norm is assumed, unless explicitly stated otherwise.作者: 容易做 時(shí)間: 2025-3-26 15:44 作者: 愛(ài)了嗎 時(shí)間: 2025-3-26 19:05 作者: Minikin 時(shí)間: 2025-3-26 23:51 作者: 詼諧 時(shí)間: 2025-3-27 04:58
Book 2002relatively poor quality of the solution it gives in the worst case, allowed to devise polynomial time solutions to many classical problems in computer science. These include, solving integer programs in a fixed number of variables, factoring polynomials over the rationals, breaking knapsack based cr作者: Kindle 時(shí)間: 2025-3-27 07:26
0893-3405 n computer science. These include, solving integer programs in a fixed number of variables, factoring polynomials over the rationals, breaking knapsack based cr978-1-4613-5293-8978-1-4615-0897-7Series ISSN 0893-3405 作者: 合并 時(shí)間: 2025-3-27 10:42
Approximation Algorithms,l time algorithms to find approximately shortest nonzero vectors in a lattice, or lattice vectors approximately closest to a given target point. The approximation factor achieved is exponential in the rank of the lattice. In Section 1 we start with an algorithm to solve SVP in dimension 2. For the s作者: Heresy 時(shí)間: 2025-3-27 17:26 作者: 技術(shù) 時(shí)間: 2025-3-27 17:46
Shortest Vector Problem,to find the shortest nonzero vector in the lattice generated by . . In Chapter 3 we have already studied another important algorithmic problem on lattices: the closest vector problem (CVP). In CVP, in addition to the lattice basis ., one is given a target vector ., and the goal is to find the lattic作者: Charade 時(shí)間: 2025-3-27 22:31 作者: 暴發(fā)戶(hù) 時(shí)間: 2025-3-28 02:44 作者: Asperity 時(shí)間: 2025-3-28 09:10 作者: 馬籠頭 時(shí)間: 2025-3-28 13:18
Cryptographic Functions,n cryptography is that of secret communication: two parties want to communicate with each other, and keep the conversation private, i.e., no one, other than the two legitimate parties, should be able to get any information about the messages being exchanged. This secrecy goal can be achieved if the 作者: Flagging 時(shí)間: 2025-3-28 15:00
Shalini Prasad,Abhay Kumarchology in the 19th century..- The human-scientific critique of natural-scientific psychology..- The Marxist traditions of critique ...- Feminist and postmodern critiques and the contemporary mainstream ..- Postcolonial critiques and the shift from cross-cultural to multicultural psychology .This is作者: 新奇 時(shí)間: 2025-3-28 22:37 作者: 土坯 時(shí)間: 2025-3-28 23:05 作者: 平息 時(shí)間: 2025-3-29 05:07 作者: tariff 時(shí)間: 2025-3-29 11:02 作者: Mangle 時(shí)間: 2025-3-29 11:26
