2024\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f2\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u5fb3\u5c71 \u559c\u4e00\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\uff0c\u6728\u6751 \u9054\u660e\uff08\u540c\u5fd7\u793e\u5927\u5b66\uff09\uff0c\u4e09\u597d \u76f4\u4eba\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09<\/p>\n
\u3010\u8ad6\u6587\u3011
\nPeriodic Handover Skipping in Cellular Networks: Spatially Stochastic Modeling and Analysis,
\nIEEE Transactions on Wireless Communications, vol. 23, pp.91-103, 2024<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002025\u5e745\u670823\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u5897\u5c71 \u535a\u4e4b (\u6771\u4eac\u90fd\u7acb\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45\uff08\u99d2\u6fa4\u5927\u5b66\u6559\u6388\uff09\uff0c\u7b20\u539f \u6b63\u6cbb\uff08\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u6559\u6388\uff09\uff0c\u5869\u7530 \u8302\u96c4\uff08\u5343\u8449\u5927\u5b66\u6559\u6388\uff09\uff0c\u6edd\u6839 \u54f2\u54c9\uff08\u5927\u962a\u5927\u5b66\u6559\u6388\uff09\uff0c\u8c4a\u6cc9 \u6d0b (\u65e9\u7a32\u7530\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n
2023\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f1\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\nHung Quoc Nguyen\uff08\u65e5\u7acb\u88fd\u4f5c\u6240\uff09\uff0cTuan Phung-Duc\uff08\u7b51\u6ce2\u5927\u5b66\uff09<\/p>\n
\u3010\u8ad6\u6587\u3011
\nStrategic customer behavior and optimal policies in a passenger\u2013taxi double ended queueing system with multiple access points and nonzero matching times,
\nQueueing Systems, vol. 102, pp. 481\u2013508, 2022<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002024\u5e745\u670818\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u8c4a\u6cc9 \u6d0b (\u65e9\u7a32\u7530\u5927\u5b66)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45\uff08\u99d2\u6fa4\u5927\u5b66\u6559\u6388\uff09\uff0c\u7b20\u539f \u6b63\u6cbb\uff08\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u6559\u6388\uff09\uff0c\u5869\u7530 \u8302\u96c4\uff08\u5343\u8449\u5927\u5b66\u6559\u6388\uff09\uff0c\u6edd\u6839 \u54f2\u54c9\uff08\u5927\u962a\u5927\u5b66\u6559\u6388\uff09\uff0c\u5bae\u6ca2 \u653f\u6e05\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388\uff09\uff0c\u4e09\u597d \u76f4\u4eba(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n
2022\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f1\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u8a72\u5f53\u8005\u306a\u3057\u3068\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002023\u5e745\u670820\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u8c4a\u6cc9 \u6d0b(\u65e9\u7a32\u7530\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 :\u3000\u7b20\u539f \u6b63\u6cbb (\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u6559\u6388)\uff0c\u5869\u7530 \u8302\u96c4 (\u5343\u8449\u5927\u5b66\u6559\u6388), \u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u4e09\u597d \u76f4\u4eba(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)\uff0c\u5c71\u4e0b \u82f1\u660e(\u6771\u4eac\u90fd\u7acb\u5927\u5b66\u6559\u6388)<\/p>\n
2021\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f3\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u4f50\u4e45\u9593\u5927 (\u9632\u885b\u5927\u5b66\u6821)\uff0c\u5897\u5c71\u535a\u4e4b (\u6771\u4eac\u90fd\u7acb\u5927\u5b66)\uff0c\u798f\u7530\u6075\u7f8e\u5b50 (\u6771\u4eac\u5de5\u696d\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nA discrete-time single-server Poisson queueing game: Equilibria simulated by an agent-based model,
\nEuropean Journal of Operational Research, vol. 283, no. 1, pp. 253-264, 2020.<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u5c0f\u6ca2\u5229\u4e45 (\u99d2\u6ca2\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nAsymptotic properties of the occupation measure in a multidimensional skip-free Markov-modulated random walk,
\nQueueing Systems, vol. 97, pp. 125-161, 2021.<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u4e95\u4e0a\u6587\u5f70 (\u5927\u962a\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nQueueing analysis of GPU-Based inference servers with dynamic batching: A closed-form characterization,
\nPerformance Evaluation, vol. 147, 102183, 2021.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002022\u5e744\u670820\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u6cb3\u897f \u61b2\u4e00 (\u7fa4\u99ac\u5927\u5b66)
\n\u9078\u8003\u59d4\u54e1 : \u7b20\u539f \u6b63\u6cbb (\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u6559\u6388)\uff0c\u5869\u7530 \u8302\u96c4 (\u5343\u8449\u5927\u5b66\u6559\u6388), \u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u4e09\u597d \u76f4\u4eba(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)\uff0c\u5c71\u4e0b \u82f1\u660e(\u6771\u4eac\u90fd\u7acb\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n
2020\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f1\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u5897\u5c71 \u535a\u4e4b\uff08\u6771\u4eac\u90fd\u7acb\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nA sequential update algorithm for computing the stationary distribution vector in upper block-Hessenberg Markov chains,,
\nQueueing Systems, vol. 92, pp. 173\u2013200, 2019.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002021\u5e744\u670817\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u6cb3\u897f \u61b2\u4e00 (\u7fa4\u99ac\u5927\u5b66)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u7b20\u539f \u6b63\u6cbb (\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u6559\u6388)\uff0c
\n\u5869\u7530 \u8302\u96c4 (\u5343\u8449\u5927\u5b66\u6559\u6388), \u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u4e09\u597d \u76f4\u4eba(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n
\u7b2c7\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f3\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u3005\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u6728\u6751\u96c5\u4fca\uff0c\u6edd\u6839\u54f2\u54c9\uff08\u5927\u962a\u5927\u5b66\uff09<\/p>\n
\u3010\u8ad6\u6587\u3011
\nComputing the conditional stationary distribution in Markov chains of level-dependent M\/G\/1-type,
\nStochastic Models, vol. 34, no. 2, pp. 2017-238, April 2018.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002019\u5e744\u670820\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u7b20\u539f\u3000\u6b63\u6cbb(\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45(\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u5869\u7530 \u8302\u96c4(\u5343\u8449\u5927\u5b66\u6559\u6388), \u4e09\u597d \u76f4\u4eba(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388), \u5c71\u4e0b \u82f1\u660e(\u9996\u90fd\u5927\u5b66\u6771\u4eac\u6559\u6388)<\/p>\n
<\/p>\n
\u7b2c6\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f1\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u3005\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u9ad8\u6728 \u82f1\u660e\uff0c\u5bb6\u5185 \u7950\u592a\uff0c\u4e09\u672b \u548c\u7537\uff08\u7b51\u6ce2\u5927\u5b66\uff09<\/p>\n
\u3010\u8ad6\u6587\u3011
\nQueueing network model for obstetric patient flow in a hospital,
\nHealth Care Management Science, Vol.20, No.3, pp.433-451, 2017.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002018\u5e744\u670821\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u5869\u7530 \u8302\u96c4(\u5343\u8449\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u7b20\u539f\u3000\u6b63\u6cbb (\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66), \u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388), \u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388), \u4e09\u597d \u76f4\u4eba (\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)\uff0c\u5c71\u4e0b \u82f1\u660e(\u9996\u90fd\u5927\u5b66\u6771\u4eac\u6559\u6388)<\/p>\n
<\/p>\n
\u7b2c5\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f3\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u8a72\u5f53\u8005\u306a\u3057\u3068\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002017\u5e744\u670815\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u5869\u7530 \u8302\u96c4(\u5343\u8449\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u4e09\u597d \u76f4\u4eba (\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)\uff0c\u5c71\u4e0b \u82f1\u660e(\u9996\u90fd\u5927\u5b66\u6771\u4eac\u6559\u6388)<\/p>\n
\u7b2c4\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f2\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u3005\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u5897\u5c71 \u535a\u4e4b \u6c0f (\u4eac\u90fd\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nError bounds for augmented truncations of discrete-time block-monotone Markov chains under geometric drift conditions,
\nAdvances in Applied Probability, Volume 47, No. 1, pp. 83-105, 2015.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002016\u5e744\u670816\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u4e09\u597d \u76f4\u4eba (\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u5869\u7530 \u8302\u96c4(\u5343\u8449\u5927\u5b66\u6559\u6388)\uff0c\u9ad8\u6a4b \u5e78\u96c4(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u540d\u8a89\u6559\u6388)\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05(\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u5c71\u4e0b \u82f1\u660e(\u9996\u90fd\u5927\u5b66\u6771\u4eac\u6559\u6388)<\/p>\n
<\/p>\n
\u7b2c3\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f2\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u3005\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u6050\u795e \u8cb4\u884c\uff0cRudy Raymond (\u65e5\u672cIBM)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nAnalysis of transient queues with semidefinite optimization,
\nQueueing Systems: Theory and Applications, Volume 73, pp. 195-234, 2013.<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u6728\u6751 \u9054\u660e(NTT)\uff0c\u5897\u5c71 \u535a\u4e4b\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66)<\/p>\n
\u3010\u8ad6\u6587\u3011
\nSubexponential Asymptotics of the Stationary Distributions of GI\/G\/1-Type Markov Chains,
\nStochastic Models, Volume 29, No. 2, pp. 190-239, 2013.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002015\u5e744\u670818\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u4e09\u597d \u76f4\u4eba (\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)\uff0c\u7d00 \u4e00\u8aa0(\u795e\u5948\u5ddd\u5927\u5b66\u6559\u6388)\uff0c\u5ddd\u5cf6 \u6b66(\u524d\u9632\u885b\u5927\u5b66\u6559\u6388)\uff0c\u9ad8\u6a4b \u5e78\u96c4(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u540d\u8a89\u6559\u6388)\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66\u6559\u6388)\uff0c\u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n
\u7b2c2\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f4\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u3010\u53d7\u8cde\u8005\u3011
\n\u5c0f\u6ca2 \u5229\u4e45 \uff08\u99d2\u6fa4\u5927\u5b66\uff09<\/p>\n
\u3010\u8ad6\u6587\u3011
\nAsymptotics for the stationary distribution\u00a0in a discrete-time two-dimensional quasi-birth-and-death process,
\nQueueing Systems: Theory and Applications, Volume 74, Issue 2-3, pp. 109-149, 2013.<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002014\u5e744\u670819\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u91ce\u91cc \u597d\u90a6(\u7fa4\u99ac\u5927\u5b66\u6559\u6388)\uff0c\u7d00 \u4e00\u8aa0(\u795e\u5948\u5ddd\u5927\u5b66\u6559\u6388)\uff0c\u5ddd\u5cf6 \u6b66(\u524d\u9632\u885b\u5927\u5b66\u6559\u6388)\uff0c\u9ad8\u6a4b \u5e78\u96c4(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u540d\u8a89\u6559\u6388)\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66\u6559\u6388)\uff0c\u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)\uff0c\u4e09\u597d \u76f4\u4eba\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\u6559\u6388\uff09<\/p>\n
<\/p>\n
\u7b2c1\u56de\u53d7\u8cde\u8ad6\u6587<\/p>\n
\u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f3\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u8a72\u5f53\u8005\u306a\u3057\u3068\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e<\/p>\n
\u9078\u8003\u59d4\u54e1\u4f1a\u30002013\u5e742\u670816\u65e5\u5b9f\u65bd
\n\u9078\u8003\u59d4\u54e1\u9577 : \u5c0f\u6ca2 \u5229\u4e45 (\u99d2\u6fa4\u5927\u5b66\u6559\u6388)
\n\u9078\u8003\u59d4\u54e1 : \u5c0f\u91ce\u91cc \u597d\u90a6(\u7fa4\u99ac\u5927\u5b66\u6559\u6388)\uff0c\u7d00 \u4e00\u8aa0(\u795e\u5948\u5ddd\u5927\u5b66\u6559\u6388)\uff0c\u5ddd\u5cf6 \u6b66(\u524d\u9632\u885b\u5927\u5b66\u6559\u6388)\uff0c\u9ad8\u6a4b \u5e78\u96c4(\u6771\u4eac\u5de5\u696d\u5927\u5b66\u540d\u8a89\u6559\u6388)\uff0c\u9ad8\u6a4b \u8c4a (\u4eac\u90fd\u5927\u5b66\u6559\u6388)\uff0c\u6edd\u6839 \u54f2\u54c9 (\u5927\u962a\u5927\u5b66\u6559\u6388)\uff0c\u5bae\u6ca2 \u653f\u6e05 (\u6771\u4eac\u7406\u79d1\u5927\u5b66\u6559\u6388)<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
\u8ad6\u6587\u8cde\u53d7\u8cde\u8005 2024\u5e74\u5ea6 \u53d7\u8cde\u8ad6\u6587 \u63a8\u85a6\u304c\u3042\u308a\u307e\u3057\u305f2\u4ef6\u306e\u8ad6\u6587\u306b\u3064\u3044\u3066\uff0c\u5f85\u3061\u884c\u5217\u7814\u7a76\u90e8\u4f1a\u8ad6\u6587\u8cde\u898f\u7a0b\u306e\u9078\u8003\u57fa\u6e96\u306b\u57fa\u3065\u304d\uff0c\u53b3\u6b63\u306b\u5be9\u67fb\u3057\u305f\u7d50\u679c\uff0c\u4ee5\u4e0b\u306e\u65b9\u306b\u6388\u4e0e\u3059\u308b\u3053\u3068\u306b\u6c7a\u5b9a\u81f4\u3057\u307e\u3057\u305f\uff0e \u3010\u53d7\u8cde\u8005\u3011 \u5fb3\u5c71 \u559c\u4e00\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":8,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_mc_calendar":[]},"_links":{"self":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/37"}],"collection":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/comments?post=37"}],"version-history":[{"count":8,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/37\/revisions"}],"predecessor-version":[{"id":706,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/37\/revisions\/706"}],"up":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/8"}],"wp:attachment":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/media?parent=37"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}