{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:13:16Z","timestamp":1725869596286},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319486734"},{"type":"electronic","value":"9783319486741"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48674-1_44","type":"book-chapter","created":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T00:00:37Z","timestamp":1477872037000},"page":"498-509","source":"Crossref","is-referenced-by-count":0,"title":["New Conjugate Gradient Algorithms Based on New Conjugacy Condition"],"prefix":"10.1007","author":[{"given":"Gonglin","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaohui","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,1]]},"reference":[{"key":"44_CR1","first-page":"139","volume":"15","author":"Y Dai","year":"2002","unstructured":"Dai, Y.: A nonmonotone conjugate gradient algorithm for unconstrained optimization. J. Syst. Sci. Complex. 15, 139\u2013145 (2002)","journal-title":"J. Syst. Sci. Complex."},{"key":"44_CR2","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s002450010019","volume":"43","author":"Y Dai","year":"2001","unstructured":"Dai, Y., Liao, L.: New conjugacy conditions and related nonlinear conjugate methods. Appl. Math. Optim. 43, 87\u2013101 (2001)","journal-title":"Appl. Math. Optim."},{"key":"44_CR3","first-page":"1","volume":"5","author":"ZF Dai","year":"2010","unstructured":"Dai, Z.F., Tian, B.S.: Global convergence of some modified PRP nonlinear conjugate gradient methods. Optim. Let. 5, 1\u201316 (2010)","journal-title":"Optim. Let."},{"key":"44_CR4","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1137\/S1052623497318992","volume":"10","author":"Y Dai","year":"2000","unstructured":"Dai, Y., Yuan, Y.: A nonlinear conjugate gradient with a strong global convergence properties. SIAM J. Optim. 10, 177\u2013182 (2000)","journal-title":"SIAM J. Optim."},{"key":"44_CR5","volume-title":"Nonlinear Conjugate Gradient Methods","author":"Y Dai","year":"1998","unstructured":"Dai, Y., Yuan, Y.: Nonlinear Conjugate Gradient Methods. Shanghai Scientific and Technical Publishers, Shanghai (1998)"},{"key":"44_CR6","volume-title":"Practical Method of Optimization: Unconstrained Optimization","author":"R Fletcher","year":"1997","unstructured":"Fletcher, R.: Practical Method of Optimization: Unconstrained Optimization, vol. 1, 2nd edn. Wiley, New York (1997)","edition":"2"},{"key":"44_CR7","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1093\/comjnl\/7.2.149","volume":"7","author":"R Fletcher","year":"1964","unstructured":"Fletcher, R., Reeves, C.: Function minimization by conjugate gradients. Comput. J. 7, 149\u2013154 (1964)","journal-title":"Comput. J."},{"key":"44_CR8","first-page":"375","volume":"78","author":"L Grippo","year":"1997","unstructured":"Grippo, L., Luidi, S.: A globally convergent version of the Polak-Ribi $$\\grave{e}$$ e ` re gradient method. Math. Program. 78, 375\u2013391 (1997)","journal-title":"Math. Program."},{"key":"44_CR9","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1137\/0802003","volume":"2","author":"JC Gibert","year":"1992","unstructured":"Gibert, J.C., Nocedal, J.: Global convergence properties of conugate gradient methods for optimization. SIAM J. Optim. 2, 21\u201342 (1992)","journal-title":"SIAM J. Optim."},{"key":"44_CR10","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1137\/030601880","volume":"16","author":"WW Hager","year":"2005","unstructured":"Hager, W.W., Zhang, H.: A new conjugate gradient method with guaranteed descent and an efficient line search. SIAM J. Optim. 16, 170\u2013192 (2005)","journal-title":"SIAM J. Optim."},{"key":"44_CR11","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1145\/1132973.1132979","volume":"32","author":"WW Hager","year":"2006","unstructured":"Hager, W.W., Zhang, H.: Algorithm 851: $$CG_DESCENT$$ C G D E S C E N T , a conjugate gradient method with guaranteed descent. ACM Trans. Math. Softw. 32, 113\u2013137 (2006)","journal-title":"ACM Trans. Math. Softw."},{"key":"44_CR12","first-page":"35","volume":"2","author":"WW Hager","year":"2006","unstructured":"Hager, W.W., Zhang, H.: A survey of nonlinear conjugate gradient methods. Pacif. J. Optim. 2, 35\u201358 (2006)","journal-title":"Pacif. J. Optim."},{"key":"44_CR13","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TIFS.2014.2381872","volume":"10","author":"J Li","year":"2015","unstructured":"Li, J., Li, X., Yang, B., Sun, X.: Segmentation-based image copy-move forgery detection scheme. IEEE Trans. Inf. Forensics Secur. 10, 507\u2013518 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"44_CR14","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1109\/TNNLS.2014.2342533","volume":"26","author":"B Gu","year":"2015","unstructured":"Gu, B., Sheng, V.S., Tay, K.Y., Romano, W., Li, S.: Incremental support vector learning for ordinal regression. IEEE Trans. Neural Netw. Learning Syst. 26, 1403\u20131416 (2015). doi: 10.1109\/TNNLS.2014.2342533","journal-title":"IEEE Trans. Neural Netw. Learning Syst."},{"key":"44_CR15","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1109\/TPDS.2015.2401003","volume":"27","author":"Z Xia","year":"2015","unstructured":"Xia, Z., Wang, X., Sun, X., Wang, Q.: A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27, 340\u2013352 (2015). doi: 10.1109\/TPDS.2015.2401003","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"44_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2015.2419824","author":"Z Pan","year":"2015","unstructured":"Pan, Z., Zhang, Y., Kwong, S.: Efficient motion and disparity estimation optimization for low complexity multiview video coding. IEEE Trans. Broadcast. (2015). doi: 10.1109\/TBC.2015.2419824","journal-title":"IEEE Trans. Broadcast."},{"key":"44_CR17","doi-asserted-by":"crossref","first-page":"409","DOI":"10.6028\/jres.049.044","volume":"49","author":"MR Hestenes","year":"1952","unstructured":"Hestenes, M.R., Stiefel, E.: Method of conjugate gradient for solving linear equations. J. Res. Nat. Bur. Stand. 49, 409\u2013436 (1952)","journal-title":"J. Res. Nat. Bur. Stand."},{"key":"44_CR18","first-page":"532","volume":"202","author":"G Li","year":"2007","unstructured":"Li, G., Tang, C., Wei, Z.: New conjugacy condition and related new conjugate gradient methods for unconstrained optimization problems. J. Comput. Appl. Math. 202, 532\u2013539 (2007)","journal-title":"J. Comput. Appl. Math."},{"key":"44_CR19","first-page":"17","volume":"69","author":"Y Liu","year":"1992","unstructured":"Liu, Y., Storey, C.: Effcient generalized conjugate gradient algorithms, Part 1: theory. J. Optim. Theor. Appl. 69, 17\u201341 (1992)","journal-title":"J. Optim. Theor. Appl."},{"key":"44_CR20","doi-asserted-by":"crossref","unstructured":"Polak, E., Ribiere, G.: Note sur la xonvergence de directions conjugees Rev. Francaise informat Recherche Operatinelle, 3e Annee, vol. 16, pp. 35\u201343 (1969)","DOI":"10.1051\/m2an\/196903R100351"},{"key":"44_CR21","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/0041-5553(69)90035-4","volume":"9","author":"BT Polyak","year":"1969","unstructured":"Polyak, B.T.: The conjugate gradient method in extreme problems. USSR Comput. Math. Math. Phys. 9, 94\u2013112 (1969)","journal-title":"USSR Comput. Math. Math. Phys."},{"key":"44_CR22","series-title":"Lecture Notes in Mathematics","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1007\/BFb0099521","volume-title":"Numerical Analysis","author":"MJD Powell","year":"1984","unstructured":"Powell, M.J.D.: Nonconvex minimization calculations and the conjugate gradient method. In: Griffiths, D.F. (ed.) Numerical Analysis. Lecture Notes in Mathematics, vol. 1066, pp. 122\u2013141. Spinger, Heidelberg (1984)"},{"key":"44_CR23","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1137\/1028154","volume":"28","author":"MJD Powell","year":"1986","unstructured":"Powell, M.J.D.: Convergence properties of algorithm for nonlinearoptimization. SIAM Rev. 28, 487\u2013500 (1986)","journal-title":"SIAM Rev."},{"key":"44_CR24","doi-asserted-by":"crossref","first-page":"2759","DOI":"10.1016\/j.asoc.2012.11.011","volume":"13","author":"S Siva Sathya","year":"2013","unstructured":"Siva Sathya, S., Radhika, M.V.: Convergence of nomadic genetic algorithm on benchmark mathematical functions. Appl. Soft Comput. 13, 2759\u20132766 (2013)","journal-title":"Appl. Soft Comput."},{"key":"44_CR25","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.amc.2005.11.150","volume":"179","author":"Z Wei","year":"2006","unstructured":"Wei, Z., Li, G., Qi, L.: New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems. Appl. Math. Comput. 179, 407\u2013430 (2006)","journal-title":"Appl. Math. Comput."},{"key":"44_CR26","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1016\/j.amc.2006.05.150","volume":"183","author":"Z Wei","year":"2006","unstructured":"Wei, Z., Yao, S., Liu, L.: The convergence properties of some new conjugate gradient methods. Appl. Math. Comput. 183, 1341\u20131350 (2006)","journal-title":"Appl. Math. Comput."},{"key":"44_CR27","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1023\/B:COAP.0000026885.81997.88","volume":"28","author":"H Yabe","year":"2004","unstructured":"Yabe, H., Takano, M.: Global convergence properties of nonlinear conjugate gradient methods with modified secant condition. Comput. Optim. Appl. 28, 203\u2013225 (2004)","journal-title":"Comput. Optim. Appl."},{"key":"44_CR28","unstructured":"Yu, G.H.: Nonlinear self-scaling conjugate gradient methods for large-scale optimization problems. Doctor\u2019s Degree thesis, Sun Yat-Sen University (2007)"},{"key":"44_CR29","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s11590-008-0086-5","volume":"3","author":"GL Yuan","year":"2009","unstructured":"Yuan, G.L.: Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems. Optim. Lett. 3, 11\u201321 (2009)","journal-title":"Optim. Lett."},{"key":"44_CR30","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1080\/10556789308805532","volume":"2","author":"YX Yuan","year":"1993","unstructured":"Yuan, Y.X.: Analysis on the conjugate gradient method. Optim. Methods Softw. 2, 19\u201329 (1993)","journal-title":"Optim. Methods Softw."},{"key":"44_CR31","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s10479-008-0420-4","volume":"166","author":"GL Yuan","year":"2009","unstructured":"Yuan, G.L., Lu, X.W.: A modified PRP conjugate gradient method. Ann. Oper. Res. 166, 73\u201390 (2009)","journal-title":"Ann. Oper. Res."},{"key":"44_CR32","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.cam.2009.08.001","volume":"233","author":"GL Yuan","year":"2009","unstructured":"Yuan, G.L., Lu, X.W., Wei, Z.X.: A conjugate gradient method with descent direction for unconstrained optimization. J. Comput. Appl. Math. 233, 519\u2013530 (2009)","journal-title":"J. Comput. Appl. Math."},{"key":"44_CR33","volume-title":"Theory and Methods of Optimization","author":"YX Yuan","year":"1999","unstructured":"Yuan, Y.X., Sun, W.Y.: Theory and Methods of Optimization. Science Press of China, Beijing (1999)"},{"key":"44_CR34","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1080\/0740817X.2012.726757","volume":"46","author":"GL Yuan","year":"2014","unstructured":"Yuan, G.L., Wei, Z.X., Zhao, Q.M.: A modified Polak-Ribi\u00e8re-Polyak conjugate gradient algorithm for large-scale optimization problems. IIE Trans. 46, 397\u2013413 (2014)","journal-title":"IIE Trans."},{"key":"44_CR35","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1023\/A:1021898630001","volume":"102","author":"JZ Zhang","year":"1999","unstructured":"Zhang, J.Z., Deng, N.Y., Chen, L.H.: New quasi-Newton equation and related methods for unconstrained optimization. J. Optim. Theory Appl. 102, 147\u2013167 (1999)","journal-title":"J. Optim. Theory Appl."},{"key":"44_CR36","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1093\/imanum\/drl016","volume":"26","author":"L Zhang","year":"2006","unstructured":"Zhang, L., Zhou, W., Li, D.: A descent modified Polak-Ribi\u00e8re-Polyak conjugate method and its global convergence. IMA J. Num. Anal. 26, 629\u2013649 (2006)","journal-title":"IMA J. Num. Anal."},{"key":"44_CR37","first-page":"37","volume-title":"Integer and Nonlinear Programming","author":"G Zoutendijk","year":"1970","unstructured":"Zoutendijk, G.: Nonlinear programming computational methods. In: Abadie, J. (ed.) Integer and Nonlinear Programming, pp. 37\u201386. North Holland, Amsterdam (1970)"}],"container-title":["Lecture Notes in Computer Science","Cloud Computing and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48674-1_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T21:35:30Z","timestamp":1601156130000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48674-1_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319486734","9783319486741"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48674-1_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}